{"id":"https://openalex.org/W2971373613","doi":"https://doi.org/10.1109/tsp.2019.2939078","title":"Robust Detection in MIMO Radar With Steering Vector Mismatches","display_name":"Robust Detection in MIMO Radar With Steering Vector Mismatches","publication_year":2019,"publication_date":"2019-09-02","ids":{"openalex":"https://openalex.org/W2971373613","doi":"https://doi.org/10.1109/tsp.2019.2939078","mag":"2971373613"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.2939078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2939078","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5100361920","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-7193-0622"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100361920"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":9.9176,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97987452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"67","issue":"20","first_page":"5270","last_page":"5280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9871000051498413,"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":0.9854000210762024,"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/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.7774758338928223},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.7401904463768005},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7103656530380249},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6574916243553162},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5945429801940918},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5627099275588989},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5430341362953186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5229307413101196},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4795786440372467},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4695955514907837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46575504541397095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4509883522987366},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4353877902030945},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4330865740776062},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4328739643096924},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4112413227558136},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3399040102958679},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3384662866592407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3051240146160126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1664765477180481},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10876664519309998}],"concepts":[{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.7774758338928223},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.7401904463768005},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7103656530380249},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6574916243553162},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5945429801940918},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5627099275588989},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5430341362953186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5229307413101196},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4795786440372467},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4695955514907837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46575504541397095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4509883522987366},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4353877902030945},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4330865740776062},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4328739643096924},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4112413227558136},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3399040102958679},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3384662866592407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3051240146160126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1664765477180481},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10876664519309998},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2019.2939078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2939078","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3580731644","display_name":null,"funder_award_id":"61871469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3738287161","display_name":null,"funder_award_id":"2018YFB1801105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5599111120","display_name":null,"funder_award_id":"61771442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8177953101","display_name":null,"funder_award_id":"CX2100060053","funder_id":"https://openalex.org/F4320335892","funder_display_name":"Youth Innovation Promotion Association"},{"id":"https://openalex.org/G8676638698","display_name":null,"funder_award_id":"WK2100000006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1676520874","https://openalex.org/W1971846076","https://openalex.org/W1976044906","https://openalex.org/W1986921156","https://openalex.org/W2000317822","https://openalex.org/W2018744547","https://openalex.org/W2034748641","https://openalex.org/W2056656880","https://openalex.org/W2058683736","https://openalex.org/W2059210598","https://openalex.org/W2065607385","https://openalex.org/W2077602393","https://openalex.org/W2083506609","https://openalex.org/W2091489596","https://openalex.org/W2100653957","https://openalex.org/W2102649267","https://openalex.org/W2106999806","https://openalex.org/W2114694381","https://openalex.org/W2114785525","https://openalex.org/W2135430906","https://openalex.org/W2136172243","https://openalex.org/W2144158572","https://openalex.org/W2148744371","https://openalex.org/W2151166516","https://openalex.org/W2156295116","https://openalex.org/W2162370798","https://openalex.org/W2164431174","https://openalex.org/W2166167085","https://openalex.org/W2171533090","https://openalex.org/W2171576754","https://openalex.org/W2273059432","https://openalex.org/W2326234545","https://openalex.org/W2404122704","https://openalex.org/W2475682732","https://openalex.org/W2512311144","https://openalex.org/W2546854186","https://openalex.org/W2558218308","https://openalex.org/W2769732806","https://openalex.org/W2774946376","https://openalex.org/W3147528989","https://openalex.org/W6675275145"],"related_works":["https://openalex.org/W2159195662","https://openalex.org/W1983393909","https://openalex.org/W2167992111","https://openalex.org/W2069215735","https://openalex.org/W2093700538","https://openalex.org/W2354373235","https://openalex.org/W3003095441","https://openalex.org/W2040150569","https://openalex.org/W2374441430","https://openalex.org/W1972093502"],"abstract_inverted_index":{"We":[0],"address":[1],"a":[2,63],"robust":[3],"detection":[4,100],"problem":[5,101],"for":[6,16,44,98],"MIMO":[7],"radars":[8],"in":[9,155],"Gaussian":[10],"noise":[11,120],"with":[12,32],"unknown":[13],"covariance":[14,121],"matrix,":[15],"the":[17,21,33,52,75,92,99,106,119,127,139,144,152,156],"mismatched":[18],"case":[19],"where":[20],"nominal":[22],"transmit":[23,35,53],"(or":[24,36,54],"receive)":[25,37,55],"steering":[26,38,56,140],"vector":[27,57,141],"may":[28],"not":[29,96],"be":[30,103],"aligned":[31],"true":[34],"vector.":[39],"Subspace":[40],"models":[41],"are":[42],"adopted":[43],"taking":[45],"into":[46],"account":[47],"these":[48],"mismatches.":[49,142],"More":[50],"specifically,":[51],"is":[58,89],"assumed":[59],"to":[60,62,74,102,131],"belong":[61],"subspace.":[64],"Without":[65],"requiring":[66],"training":[67],"data,":[68],"we":[69],"design":[70],"adaptive":[71],"detectors":[72,129],"according":[73],"criteria":[76],"of":[77,158],"Wald":[78,108,146],"test,":[79,81],"Rao":[80,93],"and":[82,110],"generalized":[83],"likelihood":[84],"ratio":[85],"test":[86,94,109,147],"(GLRT).":[87],"It":[88],"found":[90],"that":[91,126],"does":[95],"exist":[97],"solved.":[104],"Additionally,":[105],"proposed":[107,128,145,153],"GLRT":[111,154],"exhibit":[112],"constant":[113],"false":[114],"alarm":[115],"rate":[116],"properties":[117],"against":[118,138],"matrix.":[122],"Numerical":[123],"examples":[124],"show":[125],"compared":[130],"their":[132],"existing":[133],"counterparts":[134],"have":[135],"better":[136,149],"robustness":[137,150],"Moreover,":[143],"exhibits":[148],"than":[151],"region":[157],"high":[159],"signal-to-noise":[160],"ratio.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
