{"id":"https://openalex.org/W2736916185","doi":"https://doi.org/10.1109/taes.2017.2730998","title":"Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity","display_name":"Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity","publication_year":2017,"publication_date":"2017-07-24","ids":{"openalex":"https://openalex.org/W2736916185","doi":"https://doi.org/10.1109/taes.2017.2730998","mag":"2736916185"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2017.2730998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2017.2730998","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/A5087227905","display_name":"Sandeep Gogineni","orcid":"https://orcid.org/0000-0002-7174-9997"},"institutions":[{"id":"https://openalex.org/I4210121450","display_name":"Wright Materials Research (United States)","ror":"https://ror.org/02rxq9s71","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandeep Gogineni","raw_affiliation_strings":["Wright State Research Institute, Beavercreek, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-7174-9997","affiliations":[{"raw_affiliation_string":"Wright State Research Institute, Beavercreek, OH, USA","institution_ids":["https://openalex.org/I4210121450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063808091","display_name":"Pawan Setlur","orcid":"https://orcid.org/0000-0002-6729-7254"},"institutions":[{"id":"https://openalex.org/I4210121450","display_name":"Wright Materials Research (United States)","ror":"https://ror.org/02rxq9s71","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pawan Setlur","raw_affiliation_strings":["Wright State Research Institute, Beavercreek, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State Research Institute, Beavercreek, OH, USA","institution_ids":["https://openalex.org/I4210121450"]}]},{"author_position":"middle","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":["Air Force Research Laboratory, Wright Patterson Air Force Base, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Wright Patterson Air Force Base, OH, USA","institution_ids":["https://openalex.org/I2799950915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071117473","display_name":"Raj Rao Nadakuditi","orcid":"https://orcid.org/0000-0002-5506-1631"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Rao Nadakuditi","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":41.4677,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.99427021,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":"1","first_page":"18","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7394245862960815},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7245447039604187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103656888008118},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5824384093284607},{"id":"https://openalex.org/keywords/passive-radar","display_name":"Passive radar","score":0.508854866027832},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5005161762237549},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.46601277589797974},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.45045900344848633},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.43927162885665894},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4175738990306854},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.34608447551727295},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3410758376121521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3214404582977295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2809875011444092},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.1869376301765442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1776125431060791}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7394245862960815},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7245447039604187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103656888008118},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5824384093284607},{"id":"https://openalex.org/C151120012","wikidata":"https://www.wikidata.org/wiki/Q2143008","display_name":"Passive radar","level":5,"score":0.508854866027832},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5005161762237549},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.46601277589797974},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.45045900344848633},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.43927162885665894},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4175738990306854},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.34608447551727295},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3410758376121521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3214404582977295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2809875011444092},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.1869376301765442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1776125431060791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2017.2730998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2017.2730998","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":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2568287466","display_name":null,"funder_award_id":"17 RYCOR 481","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G8027355568","display_name":null,"funder_award_id":"LRIR 17 RYCOR499","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1487062216","https://openalex.org/W1558166414","https://openalex.org/W1578953027","https://openalex.org/W1582806995","https://openalex.org/W1836036400","https://openalex.org/W1971589750","https://openalex.org/W1990406971","https://openalex.org/W2032691773","https://openalex.org/W2043830805","https://openalex.org/W2057197276","https://openalex.org/W2069319338","https://openalex.org/W2069353545","https://openalex.org/W2072903707","https://openalex.org/W2081763265","https://openalex.org/W2085986270","https://openalex.org/W2099551908","https://openalex.org/W2100647215","https://openalex.org/W2101996248","https://openalex.org/W2106033317","https://openalex.org/W2121635489","https://openalex.org/W2123864323","https://openalex.org/W2132657058","https://openalex.org/W2136617733","https://openalex.org/W2148477206","https://openalex.org/W2150394924","https://openalex.org/W2152672782","https://openalex.org/W2155962206","https://openalex.org/W2320554567","https://openalex.org/W2507995568","https://openalex.org/W2545923111","https://openalex.org/W2626428647","https://openalex.org/W3105364218","https://openalex.org/W3183522126","https://openalex.org/W4211251910","https://openalex.org/W4231949113","https://openalex.org/W4241780302","https://openalex.org/W4242664287","https://openalex.org/W4246694998","https://openalex.org/W4298158015","https://openalex.org/W6798736220"],"related_works":["https://openalex.org/W2537886036","https://openalex.org/W2037831591","https://openalex.org/W2554868331","https://openalex.org/W2887658601","https://openalex.org/W2380664538","https://openalex.org/W2556237456","https://openalex.org/W2161170994","https://openalex.org/W4378226853","https://openalex.org/W3126357218","https://openalex.org/W4287331864"],"abstract_inverted_index":{"Traditional":[0],"passive":[1],"radar":[2,204],"detectors":[3,184],"compute":[4],"cross":[5,47],"correlation":[6,48],"of":[7,29,49,55,82,153,190],"the":[8,12,27,46,50,56,69,74,92,120,130,145,154,168,172,187,191],"raw":[9],"data":[10],"in":[11,26,126,175,186],"reference":[13,57],"and":[14,58,87,164],"surveillance":[15,59],"channels.":[16],"However,":[17],"there":[18],"is":[19,91],"no":[20],"optimality":[21],"guarantee":[22],"for":[23,182,194],"this":[24],"detector":[25,38,63,156,193],"presence":[28],"a":[30,36,41,78,105,160],"noisy":[31],"reference.":[32],"Here,":[33],"we":[34],"develop":[35],"new":[37],"that":[39,166],"utilizes":[40],"test":[42],"statistic":[43,123],"based":[44],"on":[45],"principal":[51],"left":[52],"singular":[53],"vectors":[54],"signal-plus-noise":[60],"matrices.":[61],"This":[62],"offers":[64],"better":[65],"performance":[66,112],"by":[67],"exploiting":[68],"inherent":[70],"low-rank":[71],"structure":[72],"when":[73],"transmitted":[75],"signals":[76],"are":[77,205],"weighted":[79],"periodic":[80],"summation":[81],"several":[83],"identical":[84],"waveforms":[85],"(amplitude":[86],"phase":[88],"modulation),":[89],"as":[90,98,100],"case":[93],"with":[94,157,167],"commercial":[95],"digital":[96],"illuminators":[97],"well":[99],"noncooperative":[101],"radar.":[102],"We":[103,108,135,143],"consider":[104],"scintillating":[106],"target.":[107],"provide":[109],"analytical":[110],"detection":[111,122,173],"guarantees":[113],"establishing":[114],"signal-to-noise":[115],"ratio":[116],"thresholds":[117],"above":[118],"which":[119],"proposed":[121,155,192],"reliably":[124],"discriminates,":[125],"an":[127,176],"asymptotic":[128],"sense,":[129],"signal":[131],"versus":[132],"no-signal":[133],"hypothesis.":[134],"validate":[136],"these":[137],"results":[138],"using":[139],"extensive":[140],"numerical":[141],"simulations.":[142],"demonstrate":[144],"\u201cnear":[146],"constant":[147],"false":[148],"alarm":[149],"rate":[150],"(CFAR)\u201d":[151],"behavior":[152],"respect":[158],"to":[159,170,179,197],"fixed,":[161],"SNR-independent":[162],"threshold":[163,174],"contrast":[165],"need":[169],"adjust":[171],"SNR-dependent":[177],"manner":[178],"maintain":[180],"CFAR":[181],"other":[183],"found":[185],"literature.":[188],"Extensions":[189],"settings":[195],"applicable":[196],"orthogonal":[198],"frequency":[199],"division":[200],"multiplexing":[201],"(OFDM),":[202],"adaptive":[203],"discussed.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
