{"id":"https://openalex.org/W4387245226","doi":"https://doi.org/10.1109/lsp.2023.3321555","title":"Adaptive Detectors for FDA-MIMO Radar With Unknown Mutual Coupling","display_name":"Adaptive Detectors for FDA-MIMO Radar With Unknown Mutual Coupling","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387245226","doi":"https://doi.org/10.1109/lsp.2023.3321555"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3321555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3321555","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5012819026","display_name":"Jingjing Zhu","orcid":"https://orcid.org/0000-0003-0826-6746"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Zhu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079377634","display_name":"Shengqi Zhu","orcid":"https://orcid.org/0000-0002-3119-4472"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqi Zhu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080648882","display_name":"Jingwei Xu","orcid":"https://orcid.org/0000-0002-1865-6214"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Xu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100729252","display_name":"Lan Lan","orcid":"https://orcid.org/0000-0002-9398-1308"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Lan","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012819026"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.7628,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86831057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"1437","last_page":"1441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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":1.0,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7628625631332397},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.7310940027236938},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6920925378799438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5584989190101624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5278470516204834},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5216410756111145},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5106969475746155},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4722387492656708},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.43371957540512085},{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.432226300239563},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35635262727737427},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34932637214660645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32853513956069946},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3254150450229645},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23675742745399475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20734935998916626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17421701550483704}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7628625631332397},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.7310940027236938},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6920925378799438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5584989190101624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278470516204834},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5216410756111145},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5106969475746155},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4722387492656708},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.43371957540512085},{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.432226300239563},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35635262727737427},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34932637214660645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32853513956069946},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3254150450229645},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23675742745399475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20734935998916626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17421701550483704},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3321555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3321555","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6804241619","display_name":null,"funder_award_id":"62101402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7219679163","display_name":null,"funder_award_id":"62071344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7356659868","display_name":null,"funder_award_id":"20200001081012","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G8854801301","display_name":null,"funder_award_id":"61931016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1969534197","https://openalex.org/W1974641279","https://openalex.org/W1976925532","https://openalex.org/W1980263618","https://openalex.org/W1986921156","https://openalex.org/W2008662406","https://openalex.org/W2034748641","https://openalex.org/W2100686599","https://openalex.org/W2119291159","https://openalex.org/W2140612892","https://openalex.org/W2142517930","https://openalex.org/W2164137373","https://openalex.org/W2490621714","https://openalex.org/W2493482596","https://openalex.org/W2609219981","https://openalex.org/W2797475427","https://openalex.org/W2891772785","https://openalex.org/W2967294645","https://openalex.org/W2986605767","https://openalex.org/W3126357218","https://openalex.org/W3168225517","https://openalex.org/W3204967532","https://openalex.org/W4245050668","https://openalex.org/W4312426936","https://openalex.org/W4328007328","https://openalex.org/W4376851219"],"related_works":["https://openalex.org/W2389462125","https://openalex.org/W2091997962","https://openalex.org/W151496359","https://openalex.org/W4220662591","https://openalex.org/W856465872","https://openalex.org/W1969863203","https://openalex.org/W1987843132","https://openalex.org/W1480644286","https://openalex.org/W2359223678","https://openalex.org/W2059045613"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"the":[3,18,28,34,52,58,63,66,87,103,124,127,130,138],"problem":[4,68],"of":[5,20,37,54,129],"adaptive":[6],"target":[7],"detection":[8,67],"for":[9,51],"a":[10,73,78,95],"frequency":[11],"diverse":[12],"array-multiple-input":[13],"multiple-output":[14],"(FDA-MIMO)":[15],"radar":[16,39],"in":[17,40],"presence":[19],"unknown":[21,41,55],"mutual":[22],"coupling":[23],"(MC)":[24],"is":[25,43,69,83,133],"investigated.":[26],"Unlike":[27],"conventional":[29],"phased":[30],"array":[31],"(PA)":[32],"radar,":[33],"signal":[35],"model":[36],"FDA-MIMO":[38],"MC":[42,56],"constructed":[44],"using":[45],"two":[46],"symmetric":[47],"Toeplitz":[48],"matrices":[49],"accounting":[50],"effects":[53],"at":[57],"transmitter":[59],"and":[60,106,119,140],"receiver.":[61],"At":[62,123],"formulation":[64],"stage,":[65,126],"formulated":[70],"as":[71],"either":[72],"binary":[74],"hypothesis":[75],"test":[76,91,105],"or":[77],"multi-hypothesis":[79],"test.":[80],"The":[81,99],"former":[82],"tackled":[84],"based":[85],"on":[86],"generalized":[88],"likelihood":[89],"ratio":[90],"(GLRT)":[92],"leading":[93],"to":[94,102,111],"robust":[96],"detector":[97],"(RD).":[98],"latter":[100],"resorts":[101],"penalized":[104],"multifamily":[107],"LRT":[108],"(MFLRT),":[109],"resulting":[110],"Modified-Multiple":[112],"Hypothesis":[113],"Penalized":[114],"Likelihood":[115],"Ratio":[116],"Test":[117],"(M-MHPLRT)":[118],"MFLRT":[120],"detectors,":[121],"respectively.":[122],"analysis":[125],"effectiveness":[128],"developed":[131],"detectors":[132,142],"verified":[134],"with":[135],"comparisons":[136],"among":[137],"benchmarks":[139],"existing":[141],"via":[143],"Monte":[144],"Carlo":[145],"simulation":[146],"results":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
