{"id":"https://openalex.org/W3176865002","doi":"https://doi.org/10.1109/taes.2021.3090901","title":"Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference","display_name":"Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3176865002","doi":"https://doi.org/10.1109/taes.2021.3090901","mag":"3176865002"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2021.3090901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3090901","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068804090","display_name":"Vikram Krishnamurthy","orcid":"https://orcid.org/0000-0002-4170-6056"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikram Krishnamurthy","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4170-6056","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084702668","display_name":"Kunal Pattanayak","orcid":"https://orcid.org/0000-0002-6684-4148"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunal Pattanayak","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-6684-4148","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087227905","display_name":"Sandeep Gogineni","orcid":"https://orcid.org/0000-0002-7174-9997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandeep Gogineni","raw_affiliation_strings":["Information Systems Laboratories, Inc., San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7174-9997","affiliations":[{"raw_affiliation_string":"Information Systems Laboratories, Inc., San Diego, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075951419","display_name":"Bosung Kang","orcid":"https://orcid.org/0000-0001-9429-4537"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bosung Kang","raw_affiliation_strings":["University of Dayton Research Institute, Dayton, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-9429-4537","affiliations":[{"raw_affiliation_string":"University of Dayton Research Institute, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064635322","display_name":"Muralidhar Rangaswamy","orcid":"https://orcid.org/0000-0003-4830-7637"},"institutions":[{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muralidhar Rangaswamy","raw_affiliation_strings":["Wright-Patterson Air Force Base, Dayton, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-4830-7637","affiliations":[{"raw_affiliation_string":"Wright-Patterson Air Force Base, Dayton, OH, USA","institution_ids":["https://openalex.org/I2799950915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1507,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93088021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"57","issue":"4","first_page":"2067","last_page":"2081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9182999730110168,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6341712474822998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5928707718849182},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5803545713424683},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.4866405427455902},{"id":"https://openalex.org/keywords/passive-radar","display_name":"Passive radar","score":0.4759540259838104},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.44343942403793335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.374458909034729},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.35039860010147095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34363529086112976},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23872798681259155}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6341712474822998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928707718849182},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5803545713424683},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.4866405427455902},{"id":"https://openalex.org/C151120012","wikidata":"https://www.wikidata.org/wiki/Q2143008","display_name":"Passive radar","level":5,"score":0.4759540259838104},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.44343942403793335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.374458909034729},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.35039860010147095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34363529086112976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23872798681259155}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2021.3090901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3090901","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1478011415","display_name":null,"funder_award_id":"CCF-1714180","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G227115653","display_name":null,"funder_award_id":"W911NF-21-1-0093","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6104770647","display_name":null,"funder_award_id":"W911NF-19-1-0365","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1488001421","https://openalex.org/W1507047903","https://openalex.org/W1509685104","https://openalex.org/W1513008779","https://openalex.org/W1537470538","https://openalex.org/W1588591676","https://openalex.org/W1965458961","https://openalex.org/W1971263133","https://openalex.org/W2000804318","https://openalex.org/W2004394537","https://openalex.org/W2063146632","https://openalex.org/W2066533334","https://openalex.org/W2070694319","https://openalex.org/W2102134363","https://openalex.org/W2119940423","https://openalex.org/W2124978072","https://openalex.org/W2133700832","https://openalex.org/W2133721238","https://openalex.org/W2139656913","https://openalex.org/W2152904780","https://openalex.org/W2158876846","https://openalex.org/W2164142425","https://openalex.org/W2301340049","https://openalex.org/W2435749319","https://openalex.org/W2478605617","https://openalex.org/W2495836911","https://openalex.org/W2612008093","https://openalex.org/W2750673042","https://openalex.org/W2901288965","https://openalex.org/W2914209720","https://openalex.org/W2922268920","https://openalex.org/W2937327187","https://openalex.org/W2945112127","https://openalex.org/W2964074953","https://openalex.org/W3047329881","https://openalex.org/W3122344118","https://openalex.org/W4234913304","https://openalex.org/W4239466562","https://openalex.org/W4250389103","https://openalex.org/W4298054777","https://openalex.org/W6743257335","https://openalex.org/W6760433918"],"related_works":["https://openalex.org/W2764022015","https://openalex.org/W2115044374","https://openalex.org/W2095050623","https://openalex.org/W2056268060","https://openalex.org/W1524135043","https://openalex.org/W2005144586","https://openalex.org/W2625197920","https://openalex.org/W948099415","https://openalex.org/W2920903638","https://openalex.org/W1873103587"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"three":[3],"interrelated":[4],"adversarial":[5],"inference":[6],"problems":[7],"involving":[8],"cognitive":[9,52,79],"radars.":[10],"We":[11,63],"first":[12],"discuss":[13,99],"inverse":[14,138],"tracking":[15,143],"of":[16,24,123],"the":[17,21,28,33,51,78,93,105,111,135,142,153],"radar":[18,53,66,80,112],"to":[19,48,76,83,101,109,116],"estimate":[20,23],"adversary's":[22],"us":[25],"based":[26,130],"on":[27,131],"radar's":[29,34,94],"actions":[30],"and":[31,71,87,145],"calibrate":[32],"sensing":[35],"accuracy.":[36],"Second,":[37],"using":[38],"revealed":[39,146],"preference":[40],"from":[41,126],"microeconomics,":[42],"we":[43,98],"formulate":[44],"a":[45,55,89],"nonparametric":[46],"test":[47],"identify":[49],"if":[50],"is":[54,81],"constrained":[56],"utility":[57,86,95,150],"maximizer":[58],"with":[59,74],"signal":[60],"processing":[61],"constraints.":[62],"consider":[64],"two":[65],"functionalities,":[67],"namely,":[68],"beam":[69],"allocation":[70],"waveform":[72],"design,":[73],"respect":[75],"which":[77],"assumed":[82],"maximize":[84],"its":[85,118],"construct":[88],"set-valued":[90],"estimator":[91],"for":[92,148],"function.":[96],"Finally,":[97],"how":[100],"engineer":[102],"interference":[103,128],"at":[104,141,152],"physical":[106],"layer":[107],"level":[108],"confuse":[110],"that":[113],"forces":[114],"it":[115],"change":[117],"transmit":[119],"waveform.":[120],"The":[121],"levels":[122],"abstraction":[124],"range":[125],"smart":[127],"design":[129],"Wiener":[132],"filters":[133,140],"(at":[134],"pulse/waveform":[136],"level),":[137],"Kalman":[139],"level,":[144],"preferences":[147],"identifying":[149],"maximization":[151],"systems":[154],"level.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}