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Rohde &amp; Schwarz is a leader in performance test equipment including: spectrum and network analyzers, signal generators, power meters, and oscilloscopes. Headquartered in Munich, Germany, the family-owned Rohde &amp; Schwarz technology group has 90 years of experience in developing innovative RF products that help our customers address their toughest measurement challenges.&nbsp;&nbsp;\u003C/p>\u003Cp style=\"margin-left:0in;\">For more information, visit us at \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://www.rohde-schwarz.com/us/campaigns/rsa/adt/iraps_255203.html?mid=13141&amp;midx=adt-tradeshow____us_IEEERadar-IRAPSpage\">\u003Cspan style=\"color:rgb(0,157,236);\">\u003Cstrong>\u003Cu>https://www.rohde-schwarz.com/iraps\u003C/u>\u003C/strong>\u003C/span>\u003C/a>&nbsp;\u003C/p>","2024-08-14T16:47:29.122Z","2025-03-17T12:53:23.049Z","2024-08-14T16:47:36.770Z","27",{"id":249,"name":676,"alternativeText":16,"caption":16,"width":40,"height":677,"formats":678,"hash":686,"ext":34,"mime":37,"size":687,"url":688,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":689,"updatedAt":689},"Logo_RS.webp",422,{"thumbnail":679},{"ext":34,"url":680,"hash":681,"mime":37,"name":682,"path":16,"size":683,"width":684,"height":685},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Logo_RS_cf8c37ecba.webp","thumbnail_Logo_RS_cf8c37ecba","thumbnail_Logo_RS.webp",4.31,185,156,"Logo_RS_cf8c37ecba",7.93,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Logo_RS_cf8c37ecba.webp","2024-10-02T19:51:22.662Z",{"id":143,"variation":55,"button":691},[692],{"id":435,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":693,"newWindow":8,"downloadable":8,"shape":16},"https://www.rohde-schwarz.com/iraps  ","-2",{"id":223,"name":696,"description":697,"createdAt":698,"updatedAt":699,"publishedAt":700,"url_path_id":701,"logo":702,"website":723,"url_path":727},"Trexon","\u003Cp style=\"margin-left:0px;text-align:justify;\">Designed for Durability. 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Formed from the combination of top wire and cable companies, Trexon provides an expanding range of specialized products and solutions designed for rugged and specific conditions.\u003C/p>","2024-08-16T14:24:58.719Z","2024-10-02T19:52:31.826Z","2024-08-16T14:24:59.781Z","28",{"id":703,"name":704,"alternativeText":16,"caption":16,"width":705,"height":684,"formats":706,"hash":719,"ext":34,"mime":37,"size":720,"url":721,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":722,"updatedAt":722},44,"trexcon_logo.webp",750,{"small":707,"thumbnail":713},{"ext":34,"url":708,"hash":709,"mime":37,"name":710,"path":16,"size":711,"width":40,"height":712},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_trexcon_logo_20fda4000f.webp","small_trexcon_logo_20fda4000f","small_trexcon_logo.webp",9.01,123,{"ext":34,"url":714,"hash":715,"mime":37,"name":716,"path":16,"size":717,"width":47,"height":718},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_trexcon_logo_20fda4000f.webp","thumbnail_trexcon_logo_20fda4000f","thumbnail_trexcon_logo.webp",3.4,60,"trexcon_logo_20fda4000f",5.32,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/trexcon_logo_20fda4000f.webp","2024-10-02T19:52:26.570Z",{"id":435,"variation":55,"button":724},[725],{"id":442,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":726,"newWindow":8,"downloadable":16,"shape":16},"https://trexonglobal.com/","-3",{"id":323,"name":729,"description":730,"createdAt":731,"updatedAt":732,"publishedAt":733,"url_path_id":734,"logo":735,"website":756,"url_path":760},"Samtec","\u003Cp style=\"text-align:justify;\">Samtec is a worldwide manufacturer of interconnect systems and is recognized as the connector industry’s service leader. 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With design and assembly available ACE is a one stop solution where Quality, Technology and Speed come together. ACE is AS9100, Military, ITAR certified. Sales@ace-pcb.com\u003C/span>\u003C/p>","2024-11-12T17:08:50.437Z","2024-11-12T17:08:52.199Z","2024-11-12T17:08:52.178Z","42",{"id":886,"name":887,"alternativeText":16,"caption":16,"width":888,"height":888,"formats":889,"hash":905,"ext":19,"mime":20,"size":906,"url":907,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":908,"updatedAt":908},57,"ACEBRAIN.png",792,{"small":890,"medium":895,"thumbnail":900},{"ext":19,"url":891,"hash":892,"mime":20,"name":893,"path":16,"size":894,"width":40,"height":40},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_ACEBRAIN_2ce33b308e.png","small_ACEBRAIN_2ce33b308e","small_ACEBRAIN.png",241.44,{"ext":19,"url":896,"hash":897,"mime":20,"name":898,"path":16,"size":899,"width":705,"height":705},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_ACEBRAIN_2ce33b308e.png","medium_ACEBRAIN_2ce33b308e","medium_ACEBRAIN.png",444.28,{"ext":19,"url":901,"hash":902,"mime":20,"name":903,"path":16,"size":904,"width":685,"height":685},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_ACEBRAIN_2ce33b308e.png","thumbnail_ACEBRAIN_2ce33b308e","thumbnail_ACEBRAIN.png",41.03,"ACEBRAIN_2ce33b308e",102.07,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/ACEBRAIN_2ce33b308e.png","2024-11-12T17:08:03.791Z",{"id":347,"variation":55,"button":910},[911],{"id":204,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":912,"newWindow":8,"downloadable":8,"shape":16},"https://www.ace-pcb.com/","-10",{"id":130,"name":915,"description":916,"createdAt":917,"updatedAt":918,"publishedAt":919,"url_path_id":920,"logo":921,"website":950,"url_path":954},"Ophir RF Inc","\u003Cp style=\"text-align:justify;\">\u003Cstrong>Ophir\u003Csub>RF\u003C/sub>\u003C/strong> boasts one of the most comprehensive arrays of high-power, solid state, radio frequency (RF) amplifiers in the industry. Established in 1992 by a group of engineers with diverse talents and backgrounds. Ophir’s initial charter was to design the most challenging of broadband linear amplifiers. The knowledge and design experience gained through the years has allowed Ophir\u003Csub>RF\u003C/sub> to supply broadband and band-specific RF and microwave amplifiers to domestic and international markets. Today, design, development, manufacturing, testing and customer support are carried out in our 40,000 sq. ft. headquarters located in Los Angeles, California, USA. Our core products include RF amplifiers from 10 kHz to 40 GHz with power levels varying from 1 W to 24 kW. This allows the company to react swiftly to new requirements and offer a variety of solutions.\u003C/p>","2025-01-06T17:29:37.658Z","2025-01-06T17:29:41.642Z","2025-01-06T17:29:41.635Z","82",{"id":922,"name":923,"alternativeText":16,"caption":16,"width":924,"height":924,"formats":925,"hash":946,"ext":775,"mime":778,"size":947,"url":948,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":949,"updatedAt":949},107,"OphirRF_CircleLogo.jpg",12500,{"large":926,"small":931,"medium":936,"thumbnail":941},{"ext":775,"url":927,"hash":928,"mime":778,"name":929,"path":16,"size":930,"width":781,"height":781},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/large_Ophir_RF_Circle_Logo_de4b94fb75.jpg","large_Ophir_RF_Circle_Logo_de4b94fb75","large_OphirRF_CircleLogo.jpg",73.08,{"ext":775,"url":932,"hash":933,"mime":778,"name":934,"path":16,"size":935,"width":40,"height":40},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_Ophir_RF_Circle_Logo_de4b94fb75.jpg","small_Ophir_RF_Circle_Logo_de4b94fb75","small_OphirRF_CircleLogo.jpg",28.82,{"ext":775,"url":937,"hash":938,"mime":778,"name":939,"path":16,"size":940,"width":705,"height":705},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_Ophir_RF_Circle_Logo_de4b94fb75.jpg","medium_Ophir_RF_Circle_Logo_de4b94fb75","medium_OphirRF_CircleLogo.jpg",51.01,{"ext":775,"url":942,"hash":943,"mime":778,"name":944,"path":16,"size":945,"width":685,"height":685},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Ophir_RF_Circle_Logo_de4b94fb75.jpg","thumbnail_Ophir_RF_Circle_Logo_de4b94fb75","thumbnail_OphirRF_CircleLogo.jpg",5.63,"Ophir_RF_Circle_Logo_de4b94fb75",1811.7,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Ophir_RF_Circle_Logo_de4b94fb75.jpg","2025-01-06T17:29:21.982Z",{"id":405,"variation":55,"button":951},[952],{"id":736,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":953,"newWindow":8,"downloadable":8,"shape":16},"https://ophirrf.com/","-47",{"id":493,"name":956,"description":957,"createdAt":958,"updatedAt":959,"publishedAt":960,"url_path_id":961,"logo":962,"website":978,"url_path":982}," The Advanced Radar Research Center (ARRC)","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(0,0,0);font-family:Arial, Helvetica, sans-serif;\">The Advanced Radar Research Center (ARRC) at the University of Oklahoma, located in Norman, OK, was established in 2005 as a small interdisciplinary group of energetic faculty and students, and we have grown into the largest academic radar program in the nation.&nbsp;&nbsp;The ARRC operates the Radar Innovations Laboratory and its new lab Annex.&nbsp;&nbsp;Overall, the ARRC manages three precision anechoic chambers, a microwave test lab, a terahertz test lab, a machine shop, two high bay garages, and an experimental roof deck for operational radar testing. The ARRC’s mission is to create a confluence of science and engineering in radar and applied electromagnetics that empowers research, enhances collaboration, inspires discovery, and improves lives. With our core values of teamwork, respect, integrity, inclusion, freedom/responsibility, and innovation, the ARRC is focused on developing cutting-edge fielded radar technology for scientific discovery, defense applications, and many other commercial needs. We are open for collaborations and are always looking for new partners, students, and colleagues!\u003C/span>\u003C/p>","2025-01-07T15:24:43.760Z","2025-01-07T15:24:48.571Z","2025-01-07T15:24:48.564Z","83",{"id":963,"name":964,"alternativeText":16,"caption":16,"width":965,"height":966,"formats":967,"hash":974,"ext":775,"mime":778,"size":975,"url":976,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":977,"updatedAt":977},108,"Advanced Radar Research Center_centered-crimson-WEB.jpg",426,200,{"thumbnail":968},{"ext":775,"url":969,"hash":970,"mime":778,"name":971,"path":16,"size":972,"width":47,"height":973},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Advanced_Radar_Research_Center_centered_crimson_WEB_103bccbcc8.jpg","thumbnail_Advanced_Radar_Research_Center_centered_crimson_WEB_103bccbcc8","thumbnail_Advanced Radar Research Center_centered-crimson-WEB.jpg",6.78,115,"Advanced_Radar_Research_Center_centered_crimson_WEB_103bccbcc8",16.51,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Advanced_Radar_Research_Center_centered_crimson_WEB_103bccbcc8.jpg","2025-01-07T15:24:32.536Z",{"id":210,"variation":55,"button":979},[980],{"id":703,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":981,"newWindow":8,"downloadable":8,"shape":16},"https://arrc.ou.edu/","-48",{"id":143,"name":984,"description":985,"createdAt":986,"updatedAt":987,"publishedAt":988,"url_path_id":989,"logo":990,"website":1022,"url_path":1026},"MathWorks","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(26,32,38);\">The MATLAB and Simulink product families are fundamental applied math and computational tools at the world's educational institutions. Adopted by more than 6,500 universities and colleges, MathWorks products accelerate the pace of learning, teaching, and research in engineering and science. MathWorks products also help prepare students for careers in industry worldwide, where the tools are widely used for data analysis, mathematical modeling, and algorithm development in collaborative research and new product development. Application areas include data analytics, mechatronics, communication systems, image processing, computational finance, and computational biology.\u003C/span>\u003C/p>","2025-01-13T15:37:59.317Z","2025-01-13T15:38:01.462Z","2025-01-13T15:38:01.455Z","84",{"id":991,"name":992,"alternativeText":16,"caption":16,"width":993,"height":994,"formats":995,"hash":1018,"ext":775,"mime":778,"size":1019,"url":1020,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1021,"updatedAt":1021},109,"MathWorksLogo.jpg",2460,489,{"large":996,"small":1001,"medium":1007,"thumbnail":1013},{"ext":775,"url":997,"hash":998,"mime":778,"name":999,"path":16,"size":1000,"width":781,"height":828},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/large_Math_Works_Logo_108db19686.jpg","large_Math_Works_Logo_108db19686","large_MathWorksLogo.jpg",24.72,{"ext":775,"url":1002,"hash":1003,"mime":778,"name":1004,"path":16,"size":1005,"width":40,"height":1006},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_Math_Works_Logo_108db19686.jpg","small_Math_Works_Logo_108db19686","small_MathWorksLogo.jpg",10.45,99,{"ext":775,"url":1008,"hash":1009,"mime":778,"name":1010,"path":16,"size":1011,"width":705,"height":1012},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_Math_Works_Logo_108db19686.jpg","medium_Math_Works_Logo_108db19686","medium_MathWorksLogo.jpg",17.07,149,{"ext":775,"url":1014,"hash":1015,"mime":778,"name":1016,"path":16,"size":1017,"width":47,"height":769},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Math_Works_Logo_108db19686.jpg","thumbnail_Math_Works_Logo_108db19686","thumbnail_MathWorksLogo.jpg",3.96,"Math_Works_Logo_108db19686",71.82,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Math_Works_Logo_108db19686.jpg","2025-01-13T15:36:48.746Z",{"id":255,"variation":55,"button":1023},[1024],{"id":568,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1025,"newWindow":8,"downloadable":8,"shape":16},"https://www.mathworks.com/","-49",{"id":435,"name":1028,"description":1029,"createdAt":1030,"updatedAt":1031,"publishedAt":1032,"url_path_id":1033,"logo":1034,"website":1049,"url_path":1054},"Empower RF Systems","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(26,32,38);\">Empower RF Systems manufactures solid state RF and microwave amplifiers tactically deployed in a wide variety of Radar, C-UAS, Threat Simulation Emitter, Satcom Uplink, and EA applications. Our customer list is impressive and includes the Military, Defense Agencies (DOD / DOE), Federal Government, and major Federal Prime Contractors. These Pulse and CW solutions range from tens of watts to hundreds of kilowatts with a lineup of modules, rugged air-cooled rack mount configurations and scalable liquid cooled racks for extreme high power. With Industry leading SWaP we have a compelling value proposition for land mobile, shipboard, airborne, and fixed site applications, HF to X-Band , where high power is required.\u003C/span>\u003C/p>","2025-01-24T19:04:32.753Z","2025-01-24T19:04:34.548Z","2025-01-24T19:04:34.539Z","131",{"id":1035,"name":1036,"alternativeText":16,"caption":16,"width":1037,"height":1038,"formats":1039,"hash":1045,"ext":775,"mime":778,"size":1046,"url":1047,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1048,"updatedAt":1048},110,"EmpowerlogoNEWDoc.jpg",450,111,{"thumbnail":1040},{"ext":775,"url":1041,"hash":1042,"mime":778,"name":1043,"path":16,"size":1044,"width":47,"height":718},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Empowerlogo_NEW_Doc_5d4b355b08.jpg","thumbnail_Empowerlogo_NEW_Doc_5d4b355b08","thumbnail_EmpowerlogoNEWDoc.jpg",5.04,"Empowerlogo_NEW_Doc_5d4b355b08",10.78,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Empowerlogo_NEW_Doc_5d4b355b08.jpg","2025-01-24T19:04:08.463Z",{"id":315,"variation":55,"button":1050},[1051],{"id":1052,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1053,"newWindow":8,"downloadable":8,"shape":16},46,"https://www.empowerrf.com/","-93",{"id":442,"name":1056,"description":1057,"createdAt":1058,"updatedAt":1059,"publishedAt":1060,"url_path_id":1061,"logo":1062,"website":1091,"url_path":1095},"Continental Electronics","\u003Cp style=\"margin-left:0px;text-align:justify;\">Founded in 1946, Dallas-Based Continental Electronics ranks high among the world’s top-tier of the most experienced designers and manufacturers of RF equipment, offering a full range of transmitters and high-power amplifiers for broadcast, communications, radar, PNT (Position, Navigation and Timing), space, science, and industrial applications. CEC systems span the practical RF frequency spectrum, from a few kilohertz to many gigahertz, operating at power levels ranging from kilowatts to megawatts, from precision digital-modulated emissions to CW duty. Continental continues to be a pioneer in RF transmitter technology since our company was originally founded.\u003C/p>\u003Cp style=\"margin-left:0px;text-align:justify;\">As an innovator specializing in High-Power RF systems for more than 75 years, Continental Electronics can offer unique capabilities in a low-risk design of robust solid-state amplifiers, integrated into high-performance, highly reliable transmitter systems.\u003C/p>\u003Cp style=\"margin-left:0px;text-align:justify;\">CEC has extensive experience in the development, manufacturing, installation, commissioning, and support of High-Power OTHR transmission systems for the US Navy and US Air Force. Learn more about CEC at \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://2024.ieee-radarconf.org/contelec.com\">\u003Cstrong>\u003Cu>contelec.com\u003C/u>\u003C/strong>\u003C/a>\u003C/p>","2025-01-24T20:12:24.813Z","2025-01-24T20:12:29.439Z","2025-01-24T20:12:29.432Z","132",{"id":1038,"name":1063,"alternativeText":16,"caption":16,"width":1064,"height":1065,"formats":1066,"hash":1087,"ext":19,"mime":20,"size":1088,"url":1089,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1090,"updatedAt":1090},"Logo_CEC.png",2701,622,{"large":1067,"small":1072,"medium":1077,"thumbnail":1082},{"ext":19,"url":1068,"hash":1069,"mime":20,"name":1070,"path":16,"size":1071,"width":781,"height":862},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/large_Logo_CEC_a75844d510.png","large_Logo_CEC_a75844d510","large_Logo_CEC.png",73.19,{"ext":19,"url":1073,"hash":1074,"mime":20,"name":1075,"path":16,"size":1076,"width":40,"height":973},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_Logo_CEC_a75844d510.png","small_Logo_CEC_a75844d510","small_Logo_CEC.png",32.14,{"ext":19,"url":1078,"hash":1079,"mime":20,"name":1080,"path":16,"size":1081,"width":705,"height":216},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_Logo_CEC_a75844d510.png","medium_Logo_CEC_a75844d510","medium_Logo_CEC.png",50.42,{"ext":19,"url":1083,"hash":1084,"mime":20,"name":1085,"path":16,"size":1086,"width":47,"height":852},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Logo_CEC_a75844d510.png","thumbnail_Logo_CEC_a75844d510","thumbnail_Logo_CEC.png",12.75,"Logo_CEC_a75844d510",30.63,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Logo_CEC_a75844d510.png","2025-01-24T20:11:15.132Z",{"id":399,"variation":55,"button":1092},[1093],{"id":28,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1094,"newWindow":8,"downloadable":8,"shape":16},"https://contelec.com/","-94",{"id":459,"name":1097,"description":1098,"createdAt":1099,"updatedAt":1100,"publishedAt":1101,"url_path_id":1102,"logo":1103,"website":1130,"url_path":1135},"STR","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(26,32,38);\">STR makes the world a safer place by developing technology and applying it to solve emerging national security challenges. We believe that innovations delivering scale, speed, and resilience will define a safer future for the information age.The foundation of a free society is a safe society. As ubiquitous computing, software, radios and networking extend to every corner of lives — our homes, our economy, our critical infrastructure — we face a new set of challenges in assuring our collective safety. We need to evolve national security in light of these changes.Our technology platforms help master the exploding information sphere and deliver a decisive security advantage. We build these platforms on advanced algorithms and human creativity to deliver a continual flow of technical capability for the common good.\u003C/span>\u003C/p>","2025-01-27T15:37:30.544Z","2025-04-17T16:54:36.938Z","2025-01-27T15:37:32.044Z","133",{"id":1104,"name":1105,"alternativeText":16,"caption":16,"width":1106,"height":1107,"formats":1108,"hash":1126,"ext":19,"mime":20,"size":1127,"url":1128,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1129,"updatedAt":1129},112,"badgeteallarge2.png",912,911,{"small":1109,"medium":1115,"thumbnail":1121},{"ext":19,"url":1110,"hash":1111,"mime":20,"name":1112,"path":16,"size":1113,"width":40,"height":1114},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_badgeteallarge2_71c0ba9e31.png","small_badgeteallarge2_71c0ba9e31","small_badgeteallarge2.png",31.01,499,{"ext":19,"url":1116,"hash":1117,"mime":20,"name":1118,"path":16,"size":1119,"width":705,"height":1120},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_badgeteallarge2_71c0ba9e31.png","medium_badgeteallarge2_71c0ba9e31","medium_badgeteallarge2.png",54.87,749,{"ext":19,"url":1122,"hash":1123,"mime":20,"name":1124,"path":16,"size":1125,"width":685,"height":685},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_badgeteallarge2_71c0ba9e31.png","thumbnail_badgeteallarge2_71c0ba9e31","thumbnail_badgeteallarge2.png",8.18,"badgeteallarge2_71c0ba9e31",9.61,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/badgeteallarge2_71c0ba9e31.png","2025-01-27T15:36:48.401Z",{"id":268,"variation":55,"button":1131},[1132],{"id":1133,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1134,"newWindow":8,"downloadable":8,"shape":16},48,"https://str.us/","-95",{"id":594,"name":1137,"description":1138,"createdAt":1139,"updatedAt":1140,"publishedAt":1141,"url_path_id":1142,"logo":1143,"website":1176,"url_path":1180},"Metron, Inc.","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:oklch(100);color:oklch(0.200);\">Metron, Inc. is a scientific consulting and research firm delivering tailored solutions to support leaders facing complex real-world problems. Our design approach emphasizes creating products that our customers can understand, apply, and trust. Our tools are built on a first-principles foundation that integrates the latest advances in mathematics, computer science, physics, and engineering. We are proud of our 35+ year history of innovative technical leadership in analytics, data fusion &amp; tracking, machine learning, artificial intelligence, and autonomy. Our customers trust us to solve their most difficult science, math, and engineering problems, and we never let them down.\u003C/span>\u003C/p>","2025-01-29T14:51:27.717Z","2025-01-29T14:51:31.619Z","2025-01-29T14:51:31.606Z","134",{"id":868,"name":1144,"alternativeText":16,"caption":16,"width":1145,"height":1146,"formats":1147,"hash":1172,"ext":19,"mime":20,"size":1173,"url":1174,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1175,"updatedAt":1175},"Metronlogo_dkBlue.png",17577,4617,{"large":1148,"small":1154,"medium":1160,"thumbnail":1166},{"ext":19,"url":1149,"hash":1150,"mime":20,"name":1151,"path":16,"size":1152,"width":781,"height":1153},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/large_Metronlogo_dk_Blue_cd874812b2.png","large_Metronlogo_dk_Blue_cd874812b2","large_Metronlogo_dkBlue.png",24.86,263,{"ext":19,"url":1155,"hash":1156,"mime":20,"name":1157,"path":16,"size":1158,"width":40,"height":1159},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_Metronlogo_dk_Blue_cd874812b2.png","small_Metronlogo_dk_Blue_cd874812b2","small_Metronlogo_dkBlue.png",11.89,131,{"ext":19,"url":1161,"hash":1162,"mime":20,"name":1163,"path":16,"size":1164,"width":705,"height":1165},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_Metronlogo_dk_Blue_cd874812b2.png","medium_Metronlogo_dk_Blue_cd874812b2","medium_Metronlogo_dkBlue.png",18.15,197,{"ext":19,"url":1167,"hash":1168,"mime":20,"name":1169,"path":16,"size":1170,"width":47,"height":1171},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_Metronlogo_dk_Blue_cd874812b2.png","thumbnail_Metronlogo_dk_Blue_cd874812b2","thumbnail_Metronlogo_dkBlue.png",5.71,64,"Metronlogo_dk_Blue_cd874812b2",186.56,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/Metronlogo_dk_Blue_cd874812b2.png","2025-01-29T14:51:16.491Z",{"id":249,"variation":55,"button":1177},[1178],{"id":769,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1179,"newWindow":8,"downloadable":8,"shape":16},"https://www.metsci.com/","-96",{"id":1182,"name":1183,"description":1184,"createdAt":1185,"updatedAt":1186,"publishedAt":1187,"url_path_id":1188,"logo":1189,"website":1220,"url_path":1225},18,"Georgia Tech Research Institute (GTRI) ","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(26,32,38);\">The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934, GTRI has grown to more than 3,000 employees, supporting eight laboratories in over twenty locations around the country and performing more than $941 million of problem-solving research annually for government and industry. 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Our all-domain mission solutions and 21st Century Security vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready.\u003C/p>","2025-04-21T14:58:55.908Z","2025-04-21T14:58:58.279Z","2025-04-21T14:58:58.272Z","170",{"id":1406,"name":1407,"alternativeText":16,"caption":16,"width":1408,"height":1409,"formats":1410,"hash":1433,"ext":19,"mime":20,"size":1375,"url":1434,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1435,"updatedAt":1435},152,"LM-logo-Blue (1).png",1924,343,{"large":1411,"small":1417,"medium":1423,"thumbnail":1428},{"ext":19,"url":1412,"hash":1413,"mime":20,"name":1414,"path":16,"size":1415,"width":781,"height":1416},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/large_LM_logo_Blue_1_017a8ac628.png","large_LM_logo_Blue_1_017a8ac628","large_LM-logo-Blue (1).png",32.19,178,{"ext":19,"url":1418,"hash":1419,"mime":20,"name":1420,"path":16,"size":1421,"width":40,"height":1422},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/small_LM_logo_Blue_1_017a8ac628.png","small_LM_logo_Blue_1_017a8ac628","small_LM-logo-Blue (1).png",14.32,89,{"ext":19,"url":1424,"hash":1425,"mime":20,"name":1426,"path":16,"size":1427,"width":705,"height":1262},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/medium_LM_logo_Blue_1_017a8ac628.png","medium_LM_logo_Blue_1_017a8ac628","medium_LM-logo-Blue (1).png",22.97,{"ext":19,"url":1429,"hash":1430,"mime":20,"name":1431,"path":16,"size":1432,"width":47,"height":703},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/thumbnail_LM_logo_Blue_1_017a8ac628.png","thumbnail_LM_logo_Blue_1_017a8ac628","thumbnail_LM-logo-Blue (1).png",6.75,"LM_logo_Blue_1_017a8ac628","https://confcats-siteplex.s3.us-east-1.amazonaws.com/radar25/LM_logo_Blue_1_017a8ac628.png","2025-04-21T14:57:14.113Z",{"id":1437,"variation":55,"button":1438},55,[1439],{"id":1440,"label":645,"size":59,"color":60,"style":16,"icon":67,"iconPosition":62,"url":1441,"newWindow":8,"downloadable":8,"shape":16},61,"https://lockheedmartin.com/","-123",{"pagination":1444},{"page":5,"pageSize":347,"pageCount":5,"total":136},{"id":347,"heading":341,"pageHeader":1446,"sections":1447},{"id":347,"description":16,"showPageHeader":8,"backgroundColor":79,"image":16},[1448,1454],{"id":1251,"__component":1449,"componentVariation":1450,"styles":16,"header":16,"body":1451},"content.content","Content Image Left",{"id":1452,"title":16,"body":1453,"containerWidth":16,"buttonGroup":16,"media":16},68,"\u003Cp style=\"text-align:center;\">\u003Cstrong>MONDAY AM\u003C/strong>\u003C/p>\u003Cfigure class=\"table\" style=\"width:1098px;\">\u003Ctable style=\"background-color:oklch(1 0 0);border:1px solid inherit;\">\u003Ctbody>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">1\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Marco Martorella &amp; Brian Rigling\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Bistatic and Multistatic Radar Imaging\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">2\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Jarrett Holcomb &amp; Nicole Perry\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Introduction to Electromagnetic Warfare\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">3\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">W. Dale Blair &amp; Benjamin Davis\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Advanced Modern Filtering Techniques for Radar Systems and Their Efficient Application\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">4\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Alexander Charlish,Sebastian Durst, Pascal Marquardt &amp; Hans Schily\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Multi-Function Radar Resource Management &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">5\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Arik D. Brown\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Active Electronically Scanned Arrays: Fundamentals and Applications\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp style=\"text-align:center;\">\u003Cstrong>MONDAY PM\u003C/strong>\u003C/p>\u003Cfigure class=\"table\" style=\"width:1098px;\">\u003Ctable style=\"background-color:oklch(1 0 0);border:1px solid inherit;\">\u003Ctbody>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">1\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Mateusz Malanowski &amp; Fabiola Colone\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Introduction to Passive Radar\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">2\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Justin Metcalf, Patrick McCormick &amp; Cenk Sahin\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">An Overview of Practical Spectrum Sensing Techniques for Radar and Communications\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">3\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Luke Rosenberg\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Recent Developments in Maritime Radar Detection\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">4\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Tarun Cousik, Jon Kraft, Marc Lichtman\u003Cbr>&amp; Michael Picciolo\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Adaptive Beamforming: A Hands-On Approach using Digital Arrays\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>5\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Uttam Majumder\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Machine Learning Techniques for Radar ATR\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp style=\"text-align:center;\">\u003Cstrong>FRIDAY AM\u003C/strong>\u003C/p>\u003Cfigure class=\"table\" style=\"width:1098px;\">\u003Ctable style=\"background-color:oklch(1 0 0);border:1px solid inherit;\">\u003Ctbody>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">1\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Diego Cristallini &amp; Piotr Samczynski\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Advanced Techniques and Applications for Passive Radar\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">2\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Scott Goldstein, Michael Picciolo\u003Cbr>&amp; Robert Lee\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Advanced Radar Detection and Applications\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">3\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Igal Bilik\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Automotive Radar Principles and Challenges\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">4\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Marco Martorella &amp; Elisa Giusti\u003C/td>\u003Ctd style=\"border:0px solid rgb(229, 231, 235);padding:0.75rem 1rem;\">Three-Dimensional Inverse Synthetic Aperture Radar\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>",{"id":118,"__component":1455,"componentVariation":1456,"contactsVariation":1457,"styles":16,"header":16,"sessionsGroup":1458},"content.sessions","Sessions Sidebar Navigation Contacts Bottom","Card Contact Base",[1459,1578,1697],{"id":118,"groupTitle":1460,"sessions":1461},"Monday Morning Tutorials",[1462,1484,1506,1528,1562],{"id":223,"session":1463},{"id":223,"title":1464,"teaser":74,"body":1465,"createdAt":1466,"updatedAt":1467,"publishedAt":1468,"url_path_id":1469,"contacts":1470,"url_path":1483},"Bistatic and Multistatic Radar Imaging","\u003Cp style=\"text-align:justify;\">SAR/ISAR images have been largely used for earth observation, surveillance, classification and recognition of targets of interest. The effectiveness of such systems may be limited by a number of factors, such as poor resolution, shadowing effects, interference, etc. Moreover, both SAR and ISAR images are to be considered as two-dimensional maps of the real three-dimensional object. Therefore, a single sensor may produce only a two-dimensional image where its image projection plane (IPP) is defined by the system-target geometry. Such a mapping typically creates a problem for the image interpretation, as the target image is only a projection of it onto a plane. In addition to this, monostatic SAR/ISAR imaging systems are typically quite vulnerable to intentional jammers as the sensor can be easily detected and located by an electronic counter-measure (ECM) system. Bistatic SAR/ISAR systems can overcome such a problem as the receiver can act covertly due to the fact that it is not easily detectable by an ECM system, whereas multistatic SAR/ISAR may push forward the system limits both in terms of resolution and image interpretation and add to the system resilience.\u003C/p>","2025-01-16T17:20:07.095Z","2025-01-16T17:20:08.717Z","2025-01-16T17:20:08.710Z","116",[1471,1477],{"id":303,"name":1472,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1473,"updatedAt":1473,"url_path_id":1474,"contactPhoto":16,"socialLinks":1475,"url_path":1476},"Marco Martorella","2025-01-16T16:54:48.444Z","87",[],"-50",{"id":347,"name":1478,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1479,"updatedAt":1479,"url_path_id":1480,"contactPhoto":16,"socialLinks":1481,"url_path":1482},"Brian Rigling","2025-01-16T16:55:13.790Z","88",[],"-51","-79",{"id":323,"session":1485},{"id":323,"title":1486,"teaser":74,"body":1487,"createdAt":1488,"updatedAt":1489,"publishedAt":1490,"url_path_id":1491,"contacts":1492,"url_path":1505},"Introduction to Electromagnetic Warfare","\u003Cp style=\"text-align:justify;\">This tutorial introduces electromagnetic warfare (EW) concepts and principles necessary for modern combat systems. The focus will be on electronic support (ES) and electronic attack (EA) functions. The intent is to familiarize the audience with EW concepts and achieve an understanding of how EW is used to interrupt radar processing chains. This talk covers a general discussion on the EW field, including applications outside radar-specific uses and terminology widely used within the field. A historical development of the EW field will be presented to motivate importance and historical use. Basic EW techniques (e.g. noise, range/velocity techniques, etc.) with associated effects on nominal radars will be presented/discussed to ensure an understanding of the technical underpinnings of EW. Building on the basic techniques, a brief discussion on concepts in advanced EW systems and current research will be presented. The discussion will conclude by briefly discussing the revolutionary impact of cognitive and AI/ML processes on EW.\u003C/p>","2025-01-16T17:20:32.783Z","2025-01-16T17:20:34.385Z","2025-01-16T17:20:34.379Z","117",[1493,1499],{"id":160,"name":1494,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1495,"updatedAt":1495,"url_path_id":1496,"contactPhoto":16,"socialLinks":1497,"url_path":1498},"Jarrett Holcomb","2025-01-16T16:55:25.071Z","89",[],"-52",{"id":190,"name":1500,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1501,"updatedAt":1501,"url_path_id":1502,"contactPhoto":16,"socialLinks":1503,"url_path":1504},"Nicole Perry","2025-01-16T16:55:35.779Z","90",[],"-53","-80",{"id":342,"session":1507},{"id":342,"title":1508,"teaser":74,"body":1509,"createdAt":1510,"updatedAt":1511,"publishedAt":1512,"url_path_id":1513,"contacts":1514,"url_path":1527},"Advanced Modern Filtering Techniques for Radar Systems and Their Efficient Application","\u003Cp style=\"text-align:justify;\">Modern radar systems with wide-bandwidth waveforms tracking targets with increasingly complex dynamics require state-of-the art track filters to make best use of the full potential of the radar system accuracy. In many cases, the standard extended Kalman Filter (EKF) algorithm is insufficient to provide good estimation performance due to the non-linearity of the dynamics and/or measurement functions or the existence of multiple dynamics modes. While particle filters provide a catch-all approach to these difficulties, they come with great computational expense due to the so-called \"curse of dimensionality,\" a phenomenon in which the number of particles or parameters associated with a given state representation must increase exponentially with the state dimension in order to achieve good performance. For these complex filtering problems, a solution that provides both good estimation performance and reasonable runtime is sought. Interacting multiple model (IMM) filters, sigma-point filters and Gaussian mixture filters are approaches that have shown promise regarding these goals. This tutorial will present the background needed to understand and apply both these algorithm types to complex estimation problems relevant to radar systems. Numerical examples are used to illustrate the application. Novel techniques for improving the runtime efficiency of sigma-point filters are also covered. The techniques include a discussion of selecting the correct order sigma-point rule to minimize runtime for a given estimation problem. Regarding Gaussian mixture filters, the tutorial focuses on the contact-lens problem in radar. The limitations of sigma-point filters to address the contact-lens problem and recent improvements achieved by applying a Gaussian mixture estimation approach are discussed.\u003C/p>","2025-01-16T17:21:00.489Z","2025-01-16T17:21:02.214Z","2025-01-16T17:21:02.203Z","118",[1515,1521],{"id":340,"name":1516,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1517,"updatedAt":1517,"url_path_id":1518,"contactPhoto":16,"socialLinks":1519,"url_path":1520},"W. Dale Blair","2025-01-16T16:55:54.927Z","91",[],"-54",{"id":385,"name":1522,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1523,"updatedAt":1523,"url_path_id":1524,"contactPhoto":16,"socialLinks":1525,"url_path":1526},"Benjamin Davis","2025-01-16T16:56:02.958Z","92",[],"-55","-81",{"id":65,"session":1529},{"id":459,"title":1530,"teaser":74,"body":1531,"createdAt":1532,"updatedAt":1533,"publishedAt":1534,"url_path_id":1535,"contacts":1536,"url_path":1561},"Multi-Function Radar Resource Management","\u003Cp style=\"text-align:justify;\">A modern multi-function phased array radar system can handle several tasks by rapidly pointing beams into different directions, adapting waveform, frequency and transmitted power, splitting its array antenna into sub-apertures or coordinating with other radars. Human operators will struggle to manage the available options coming with enhanced radar capabilities, necessitating automated management techniques. These techniques, driven by recent advances in optimization and robotics, are becoming crucial for the performance of the next generation of multi-function radar systems. This tutorial provides an introduction to radar resource management, describing classical as well as recent solutions to the challenge presented by managing ever more capable radar systems. It will teach a framework to encode the utility of multiple tasks into an objective that can be understood by a radar manager and explain key concepts like adaptive tracking, Quality of Service and its optimality conditions. Additionally, the tutorial discusses how aspects like cognitive radar, multi-sensor management and machine learning impact radar resource management.\u003C/p>","2025-01-16T17:26:07.796Z","2025-01-16T17:26:09.115Z","2025-01-16T17:26:09.110Z","128",[1537,1543,1549,1555],{"id":1133,"name":1538,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1539,"updatedAt":1539,"url_path_id":1540,"contactPhoto":16,"socialLinks":1541,"url_path":1542},"Alexander Charlish","2025-01-16T16:59:19.163Z","111",[],"-74",{"id":769,"name":1544,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1545,"updatedAt":1545,"url_path_id":1546,"contactPhoto":16,"socialLinks":1547,"url_path":1548},"Sebastian Durst","2025-01-16T16:59:27.236Z","112",[],"-75",{"id":818,"name":1550,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1551,"updatedAt":1551,"url_path_id":1552,"contactPhoto":16,"socialLinks":1553,"url_path":1554},"Pascal Marquardt","2025-01-16T16:59:33.764Z","113",[],"-76",{"id":627,"name":1556,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1557,"updatedAt":1557,"url_path_id":1558,"contactPhoto":16,"socialLinks":1559,"url_path":1560},"Hans Schily","2025-01-16T16:59:40.591Z","114",[],"-77","-91",{"id":116,"session":1563},{"id":116,"title":1564,"teaser":74,"body":1565,"createdAt":1566,"updatedAt":1567,"publishedAt":1568,"url_path_id":1569,"contacts":1570,"url_path":1577},"Active Electronically Scanned Arrays: Fundamentals and Applications","\u003Cp style=\"text-align:justify;\">The introduction to the course provides a history of AESA development going back to the 1960s. Differences between mechanically scanned arrays (MSAs), passive electronic scanned arrays (PESAs) and AESAs are discussed and elaborated upon in addition to the progressive advancement of AESAs. Also included is a summary of the benefits that AESAs provide for different applications. These applications include Radar, Electronic Warfare (EA/ESM), SIGINT and COMMS. Finally, using the radar range equation, the impacts of array elements, transmit receive modules (TRMs), and beamformers on system performance is detailed.\u003C/p>","2025-01-16T17:21:43.842Z","2025-01-16T17:21:45.263Z","2025-01-16T17:21:45.231Z","120",[1571],{"id":204,"name":1572,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1573,"updatedAt":1573,"url_path_id":1574,"contactPhoto":16,"socialLinks":1575,"url_path":1576},"Arik D. Brown","2025-01-16T16:56:19.780Z","94",[],"-57","-83",{"id":54,"groupTitle":1579,"sessions":1580},"Monday Afternoon Tutorials",[1581,1603,1631,1647,1681],{"id":124,"session":1582},{"id":124,"title":1583,"teaser":74,"body":1584,"createdAt":1585,"updatedAt":1586,"publishedAt":1587,"url_path_id":1588,"contacts":1589,"url_path":1602},"Introduction to Passive Radar","\u003Cp style=\"text-align:justify;\">This tutorial focuses on passive radar and illustrates the many successful methods and amazing solutions that can be adopted in such sensors to increase their reliability, improve their potentialities, and hence widen the range of applications. The tutorial starts from the basic concepts of passive radar by discussing the possible illuminators of opportunity, the impact of the bi/multi-static geometry, as well as the passive radar equation. A typical signal processing scheme is introduced, and effective solutions are illustrated for the signal processing techniques to be implemented at each stage, there including clutter filtering, cross-ambiguity function calculation, target detection, direction of arrival (DoA) estimation, bistatic/Cartesian tracking. Ground-based passive radar systems are first investigated, including the demonstrator and operational system design. Mission planning, which involves the calculation of the passive radar performance (detection range and accuracy), is also covered. Therefore, advanced methods are illustrated to enhance the performance of the passive radar sensor by exploiting long integration times, the polarization/frequency/spatial diversity provided by using multiple channels on receive, or the target scattering observed under moderate to extreme bistatic geometries. Then, the discussion focuses on advanced operative modes for passive radar. Specifically, the possibility of installing a passive radar onboard moving platforms is considered, which enables the capability of forming images of the surveyed scene as well as the possibility of a stand-off surveillance of ground moving targets. Therefore, the principle of operation, the signal models, and the signal processing techniques are illustrated with reference to both ground surface imaging in SAR mode and passive radar GMTI. Moreover, the last tutorial section is dedicated to target imaging with passive radar in ISAR mode and includes a description of the required methods as well as the challenges to be faced. In addition to the theoretical aspects, the tutorial provides the attendees with an insight into the real-world applications of passive radar. A wide range of applications is covered, such as air traffic control, including surveillance against UAVs, maritime surveillance, vehicular traffic monitoring, to indoor surveillance and, for each case, several experimental results are reported exploiting different illuminators of opportunity (FM radio, DVB-T, WiFi, etc.). Walking through these results gives the chance to describe in more detail some technical aspects related to system design issues and signal processing techniques, as well as to understand the current limitations and future perspectives of passive radar sensing.\u003C/p>","2025-01-16T17:22:12.495Z","2025-01-16T17:22:14.184Z","2025-01-16T17:22:14.178Z","121",[1590,1596],{"id":290,"name":1591,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1592,"updatedAt":1592,"url_path_id":1593,"contactPhoto":16,"socialLinks":1594,"url_path":1595},"Mateusz Malanowski","2025-01-16T16:56:40.477Z","95",[],"-58",{"id":365,"name":1597,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1598,"updatedAt":1598,"url_path_id":1599,"contactPhoto":16,"socialLinks":1600,"url_path":1601},"Fabiola Colone","2025-01-16T16:56:48.771Z","96",[],"-59","-84",{"id":107,"session":1604},{"id":107,"title":1605,"teaser":74,"body":1606,"createdAt":1607,"updatedAt":1608,"publishedAt":1609,"url_path_id":1610,"contacts":1611,"url_path":1630},"An Overview of Practical Spectrum Sensing Techniques for Radar and Communications","\u003Cp style=\"text-align:justify;\">This tutorial will provide a first-principles examination of the design goals and metrics of both radar and communications. We will explore the motivation and history of spectrum access and examine the practical requirements for utilizing the available DoFs. Specific examples of coexistence and co-design techniques will be explored based on the DoF(s) they use to enable efficient spectrum access. For example, the problem space of coexistence of radar and commercial communications will be explored in detail – from problem setup, to system requirements, to demonstrations of real-time processing. For the co-design problem two distinct families of techniques will be framed and explored in detail: radar-embedded communications via coding diversity and multi-beam emissions from digital arrays. Implications of hardware constraints on these techniques will be illustrated. To narrow the focus, radar detection will be the primary radar application.\u003C/p>","2025-01-16T17:22:46.218Z","2025-01-16T17:22:47.557Z","2025-01-16T17:22:47.552Z","122",[1612,1618,1624],{"id":14,"name":1613,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1614,"updatedAt":1614,"url_path_id":1615,"contactPhoto":16,"socialLinks":1616,"url_path":1617},"Justin Metcalf","2025-01-16T16:57:00.666Z","97",[],"-60",{"id":273,"name":1619,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1620,"updatedAt":1620,"url_path_id":1621,"contactPhoto":16,"socialLinks":1622,"url_path":1623},"Patrick McCormick","2025-01-16T16:57:11.608Z","98",[],"-61",{"id":405,"name":1625,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1626,"updatedAt":1626,"url_path_id":1627,"contactPhoto":16,"socialLinks":1628,"url_path":1629},"Cenk Sahin","2025-01-16T16:57:28.844Z","99",[],"-62","-85",{"id":130,"session":1632},{"id":130,"title":1633,"teaser":74,"body":1634,"createdAt":1635,"updatedAt":1636,"publishedAt":1637,"url_path_id":1638,"contacts":1639,"url_path":1646},"Recent Developments in Maritime Radar Detection","\u003Cp style=\"text-align:justify;\">Traditional maritime radar is based on non-coherent detection, mainly due to the complexities of implementing coherent detectors in sea clutter. Over the past decade, there has been significant new research into the characterisation and modelling of sea clutter and how to improve maritime target detection. The use of models has also led to techniques for predicting the performance of many new radar detection schemes. This tutorial will include a comprehensive coverage of new research in three key areas. The first is sea clutter modelling and its application to target detection. The second area looks at several detection schemes that have been proposed for detection of targets in sea clutter. These include both non-coherent techniques based on constant false alarm rate (CFAR) schemes, coherent single and multichannel techniques. The final part of the tutorial looks at several new techniques for target detection, including approaches based on time-frequency analysis, sparse signal separation, machine learning and track-before-detect.\u003C/p>","2025-01-16T17:23:03.769Z","2025-01-16T17:23:05.216Z","2025-01-16T17:23:05.210Z","123",[1640],{"id":210,"name":1641,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1642,"updatedAt":1642,"url_path_id":1643,"contactPhoto":16,"socialLinks":1644,"url_path":1645},"Luke Rosenberg","2025-01-16T16:57:40.867Z","100",[],"-63","-86",{"id":143,"session":1648},{"id":143,"title":1649,"teaser":74,"body":1650,"createdAt":1651,"updatedAt":1652,"publishedAt":1653,"url_path_id":1654,"contacts":1655,"url_path":1680},"Adaptive Beamforming: A Hands-On Approach using Digital Arrays","\u003Cp style=\"text-align:justify;\">Adaptive beamforming is driving the adoption of larger, all-digital electronically steerable arrays (ESAs/phased arrays). However, the underlying concepts and mathematics can often feel abstract and challenging to grasp. In this hands-on workshop, we will bridge that gap by building and implementing our own multi-channel adaptive beamformers. Participants will witness it in action and adaptively manage jammers and interferers. We will methodically cover the fundamentals of adaptive beamforming, exploring various implementations step-by-step. Participants will then design their own algorithms to analyze real data collected from a digital beamformer available in the room. Each topic will include a concise lecture explaining the relevant theory and mathematics, followed by practical, hands-on activities using real-world data.&nbsp;\u003Cbr>To facilitate participation, all necessary data and Python scripts will be provided during the tutorial, allowing attendees to perform the labs directly on their laptops. This interactive approach ensures participants gain a deeper, intuitive understanding of adaptive beamforming through both theory and practice.\u003C/p>","2025-01-16T17:24:02.268Z","2025-01-16T17:24:03.922Z","2025-01-16T17:24:03.908Z","125",[1656,1662,1668,1674],{"id":315,"name":1657,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1658,"updatedAt":1658,"url_path_id":1659,"contactPhoto":16,"socialLinks":1660,"url_path":1661},"Tarun Cousik","2025-01-16T16:58:11.545Z","102",[],"-65",{"id":399,"name":1663,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1664,"updatedAt":1664,"url_path_id":1665,"contactPhoto":16,"socialLinks":1666,"url_path":1667},"Jon Kraft","2025-01-16T16:58:19.217Z","103",[],"-66",{"id":268,"name":1669,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1670,"updatedAt":1670,"url_path_id":1671,"contactPhoto":16,"socialLinks":1672,"url_path":1673},"Marc Lichtman","2025-01-16T16:58:26.570Z","104",[],"-67",{"id":249,"name":1675,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1676,"updatedAt":1676,"url_path_id":1677,"contactPhoto":16,"socialLinks":1678,"url_path":1679},"Michael Picciolo","2025-01-16T16:58:33.438Z","105",[],"-68","-88",{"id":1182,"session":1682},{"id":594,"title":1683,"teaser":74,"body":1684,"createdAt":1685,"updatedAt":1686,"publishedAt":1687,"url_path_id":1688,"contacts":1689,"url_path":1696},"Machine Learning Techniques for Radar ATR","\u003Cp style=\"text-align:justify;\">The focus of this tutorial will be hands on implementation (laboratory) and theory of machine/deep learning for radio frequency automatic target recognition (ATR). For this tutorial, the author will use his recently published (July 2020) book by Artech House \"Deep Learning for Radar and Communications Automatic Target Recognition\". This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation.\u003C/p>","2025-01-16T17:26:27.256Z","2025-01-16T17:26:28.643Z","2025-01-16T17:26:28.638Z","129",[1690],{"id":1223,"name":1691,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1692,"updatedAt":1692,"url_path_id":1693,"contactPhoto":16,"socialLinks":1694,"url_path":1695},"Uttam Majumder","2025-01-16T16:59:48.054Z","115",[],"-78","-92",{"id":223,"groupTitle":1698,"sessions":1699},"Friday Morning Tutorials",[1700,1722,1746,1764],{"id":435,"session":1701},{"id":435,"title":1702,"teaser":74,"body":1703,"createdAt":1704,"updatedAt":1705,"publishedAt":1706,"url_path_id":1707,"contacts":1708,"url_path":1721},"Advanced Techniques and Applications for Passive Radar","\u003Cp style=\"text-align:justify;\">The purpose of this tutorial is to provide a serious exposition of the state-of-the-art of passive radar and its development in the context of target detection and imaging. This tutorial will be pitched so as to present bistatic and multistatic passive radar using novel wideband illuminators of opportunity in an advanced format. The tutorial will focus on developing the grounding of advanced principles and concepts that are, and will be, of high relevance to the field. This tutorial will be of high value to scientists and engineers working with passive radar technology, representatives of the military, government and industry and to other postgraduates involved in the field of radar as well as seasoned practitioners. Our goal is the delivery of modern advanced topics in an accessible format. By the conclusion of the tutorial, participants will have acquired a deep appreciation of core advanced topics relating to passive radar using new wideband illuminators of opportunity, such as 5G/6G, WiFi, DVB-S and Fixed Satellite Services (FSS, such as STARLINK and OneWeb), and the required signal processing techniques. The tutorial will include different standards comparison, challenges, opportunities and limitations analyzes with focus on modern applications for using wideband IoOs in passive radars, e.g., target detection, classification, SAR/ISAR imaging that participants would not have accrued through self-study of recently published literature. Representative examples will be used throughout the tutorial to aid understanding. Worked examples with interactive participation will ensure a lively tutorial for the full duration.\u003C/p>","2025-01-16T17:25:15.857Z","2025-01-16T17:25:17.375Z","2025-01-16T17:25:17.362Z","126",[1709,1715],{"id":736,"name":1710,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1711,"updatedAt":1711,"url_path_id":1712,"contactPhoto":16,"socialLinks":1713,"url_path":1714},"Diego Cristallini","2025-01-16T16:58:42.763Z","106",[],"-69",{"id":703,"name":1716,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1717,"updatedAt":1717,"url_path_id":1718,"contactPhoto":16,"socialLinks":1719,"url_path":1720},"Piotr Samczynski","2025-01-16T16:58:49.166Z","107",[],"-70","-89",{"id":442,"session":1723},{"id":442,"title":1724,"teaser":74,"body":1725,"createdAt":1726,"updatedAt":1727,"publishedAt":1728,"url_path_id":1729,"contacts":1730,"url_path":1745},"Advanced Radar Detection and Applications","\u003Cp style=\"text-align:justify;\">We teach advanced radar detection from first principles and develop the concepts behind Space-Time Adaptive Processing (STAP) and advanced, yet practical, adaptive algorithms for realistic data environments. Detection theory is reviewed to provide the student with both the understanding of how STAP is derived, as well as to gain an appreciation for how the assumptions can be modified based on different signal and clutter models. Radar received data components are explained in detail and the mathematical models are derived so that the student can program their own MATLAB or other simulation code to represent target, jammer and clutter from a statistical framework and construct optimal and suboptimal radar detector structures. The course covers state-of-the-art STAP techniques that address many of the limitations of traditional STAP solutions, offering insight into future research trends.\u003C/p>","2025-01-16T17:25:39.990Z","2025-01-16T17:25:41.432Z","2025-01-16T17:25:41.425Z","127",[1731,1737,1739],{"id":568,"name":1732,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1733,"updatedAt":1733,"url_path_id":1734,"contactPhoto":16,"socialLinks":1735,"url_path":1736},"Scott Goldstein","2025-01-16T16:58:56.615Z","108",[],"-71",{"id":249,"name":1675,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1676,"updatedAt":1676,"url_path_id":1677,"contactPhoto":16,"socialLinks":1738,"url_path":1679},[],{"id":28,"name":1740,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1741,"updatedAt":1741,"url_path_id":1742,"contactPhoto":16,"socialLinks":1743,"url_path":1744},"Robert Lee","2025-01-16T16:59:10.232Z","110",[],"-73","-90",{"id":309,"session":1747},{"id":493,"title":1748,"teaser":74,"body":1749,"createdAt":1750,"updatedAt":1751,"publishedAt":1752,"url_path_id":1753,"contacts":1754,"url_path":1763},"Three-Dimensional Inverse Synthetic Aperture Radar","\u003Cp style=\"text-align:justify;\">Inverse Synthetic Aperture Radar (ISAR) is a well-known technique to obtain high-resolution radar images of non-cooperative targets. ISAR images have been largely used to classify and recognise targets and ISAR technology is nowadays employed and integrated in modern radar systems. Nevertheless, despite decades of research and development work in ISAR imaging, two-dimensional (2D) ISAR images present some intrinsic drawbacks that limit the effectiveness of their use for target classification and recognition. Some of these limitations come from the unpredictability and uncontrollability of the image projection, which transforms three-dimensional (3D) targets in 2D images. One very effective way of overcoming this problem is to form 3D ISAR images instead of 2D ones.&nbsp;\u003Cbr>This tutorial will present a unique walkthrough 3D ISAR imaging, including concepts, algorithms, systems and real data examples, which will provide the attendants the necessary tools for a full understanding of this new technology.\u003C/p>","2025-01-16T17:23:29.356Z","2025-01-16T17:23:30.807Z","2025-01-16T17:23:30.802Z","124",[1755,1757],{"id":303,"name":1472,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1473,"updatedAt":1473,"url_path_id":1474,"contactPhoto":16,"socialLinks":1756,"url_path":1476},[],{"id":255,"name":1758,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1759,"updatedAt":1759,"url_path_id":1760,"contactPhoto":16,"socialLinks":1761,"url_path":1762},"Elisa Giusti","2025-01-16T16:57:52.942Z","101",[],"-64","-87",{"id":562,"session":1765},{"id":77,"title":1766,"teaser":74,"body":1767,"createdAt":1768,"updatedAt":1769,"publishedAt":1770,"url_path_id":1771,"contacts":1772,"url_path":1779},"Automotive Radar Principles and Challenges","\u003Cp style=\"text-align:justify;\">Autonomous driving is one of the megatrends in the automotive industry, and a majority of car manufacturers are already introducing various levels of autonomy into commercially available vehicles. The main task of the sensing suite in autonomous vehicles is to provide the most reliable and dense information on the vehicular surroundings. Specifically, it is necessary to acquire information on drivable areas on the road and to port all objects above the road level as obstacles to be avoided. Thus, the sensors need to detect, localize, and classify a variety of typical objects, such as vehicles, pedestrians, poles, and guardrails. Comprehensive and accurate information on vehicle surroundings cannot be achieved by any single practical sensor. Therefore, all autonomous vehicles are typically equipped with multiple sensors of multiple modalities: radars, cameras, and lidars. Lidars are expensive and cameras are sensitive to illumination and weather conditions, have to be mounted behind an optically transparent surface, and do not provide direct range and velocity measurements. Radars are robust to adverse weather conditions, are insensitive to lighting variations, provide long and accurate range measurements, and can be packaged behind the optically nontransparent fascia. The uniqueness of automotive radar scenarios mandates the formulation and derivation of new signal-processing approaches beyond classical military radar concepts. The reformulation of vehicular radar tasks, along with new performance requirements, provides an opportunity to develop innovative signal processing methods. This Tutorial will first describe active safety and autonomous driving features and associated sensing challenges. Next, it will overview technology trends state advantages of available sensing modalities and describe automotive radar performance requirements. It will discuss propagation phenomena experienced by typical automotive radar and radar concepts that can address them. It will compare radar and LiDAR signal processing chains and emphasize their similarity, differences, and associated processing challenges. Next, this Tutorial will focus on the radar processing chain: range, Doppler measurement estimation, beamforming, detection, range and angle-of-arrival migration, tracking, and clustering. Discussing modern automotive radars, the Tutorial will describe the MIMO radar approach. Finally, the automotive radar applications and advanced topics, such as interference mitigation and sensor fusion, will be discussed.\u003C/p>","2025-01-16T17:21:25.499Z","2025-01-16T17:21:26.888Z","2025-01-16T17:21:26.883Z","119",[1773],{"id":184,"name":1774,"committee":16,"position":16,"affiliation":16,"email":16,"biography":74,"createdAt":1775,"updatedAt":1775,"url_path_id":1776,"contactPhoto":16,"socialLinks":1777,"url_path":1778},"Igal Bilik","2025-01-16T16:56:12.509Z","93",[],"-56","-82",{"data":1781,"meta":1782},{"id":347,"heading":341,"createdAt":348,"updatedAt":349,"publishedAt":350,"url_path_id":351,"url_path":343,"contentType":105},{},1778853259412]