{"id":"https://openalex.org/W2945207093","doi":"https://doi.org/10.1109/taes.2019.2916708","title":"Robust Polarimetric Adaptive Detector Against Target Steering Matrix Mismatch","display_name":"Robust Polarimetric Adaptive Detector Against Target Steering Matrix Mismatch","publication_year":2019,"publication_date":"2019-05-16","ids":{"openalex":"https://openalex.org/W2945207093","doi":"https://doi.org/10.1109/taes.2019.2916708","mag":"2945207093"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2019.2916708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2916708","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/A5101586834","display_name":"Lei Shen","orcid":"https://orcid.org/0000-0002-8645-7161"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shen","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8645-7161","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628019","display_name":"Zhiwen Liu","orcid":"https://orcid.org/0000-0002-0743-4237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Liu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0743-4237","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032681108","display_name":"Yougen Xu","orcid":"https://orcid.org/0000-0003-4751-6736"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yougen Xu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4751-6736","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020965778","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0002-1935-0612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["The Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020012026","display_name":"Tao Zhao","orcid":"https://orcid.org/0000-0001-6226-7411"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Zhao","raw_affiliation_strings":["The Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9942,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97358415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"56","issue":"1","first_page":"442","last_page":"455"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7054107785224915},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6607072353363037},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.654211163520813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.54966801404953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5007925033569336},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4483453631401062},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.43896016478538513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34074866771698},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3027920126914978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24274060130119324},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.18937933444976807},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.16048294305801392},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11261457204818726}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7054107785224915},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6607072353363037},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.654211163520813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.54966801404953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5007925033569336},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4483453631401062},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.43896016478538513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34074866771698},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3027920126914978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24274060130119324},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.18937933444976807},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.16048294305801392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11261457204818726},{"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.2019.2916708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2916708","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/G2769491121","display_name":null,"funder_award_id":"61331019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6236403702","display_name":null,"funder_award_id":"61490691","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1426280032","https://openalex.org/W1541616279","https://openalex.org/W1964846206","https://openalex.org/W1973176871","https://openalex.org/W1986921156","https://openalex.org/W1995126167","https://openalex.org/W1995938252","https://openalex.org/W2009453099","https://openalex.org/W2017904472","https://openalex.org/W2023620992","https://openalex.org/W2024275106","https://openalex.org/W2031374578","https://openalex.org/W2034748641","https://openalex.org/W2039882402","https://openalex.org/W2054521533","https://openalex.org/W2065607385","https://openalex.org/W2067386499","https://openalex.org/W2070736078","https://openalex.org/W2079205091","https://openalex.org/W2081210335","https://openalex.org/W2081936987","https://openalex.org/W2091489596","https://openalex.org/W2102559064","https://openalex.org/W2106245927","https://openalex.org/W2109291030","https://openalex.org/W2111604785","https://openalex.org/W2114118063","https://openalex.org/W2115458638","https://openalex.org/W2118141734","https://openalex.org/W2127675963","https://openalex.org/W2130573040","https://openalex.org/W2134001300","https://openalex.org/W2140775152","https://openalex.org/W2142517930","https://openalex.org/W2144158572","https://openalex.org/W2149246019","https://openalex.org/W2149826217","https://openalex.org/W2151324163","https://openalex.org/W2154051216","https://openalex.org/W2155797453","https://openalex.org/W2156626848","https://openalex.org/W2161393155","https://openalex.org/W2166279893","https://openalex.org/W2168703653","https://openalex.org/W2200683943","https://openalex.org/W2241013740","https://openalex.org/W2326234545","https://openalex.org/W2414147999","https://openalex.org/W2414372972","https://openalex.org/W2540953569","https://openalex.org/W2609219981","https://openalex.org/W2622827174","https://openalex.org/W2625033514","https://openalex.org/W2769732806","https://openalex.org/W2771855437","https://openalex.org/W4253251748","https://openalex.org/W6687993022"],"related_works":["https://openalex.org/W2012141031","https://openalex.org/W2130932512","https://openalex.org/W1485101530","https://openalex.org/W2369680611","https://openalex.org/W2045728981","https://openalex.org/W1532932657","https://openalex.org/W2761190328","https://openalex.org/W2170243420","https://openalex.org/W3018194276","https://openalex.org/W2423162659"],"abstract_inverted_index":{"A":[0],"polarimetric":[1,41,72,134,162],"scheme":[2],"is":[3,18,76,103,124,138],"presented":[4],"for":[5],"the":[6,13,21,25,32,36,40,45,56,65,69,71,80,91,95,100,120,128,132,150,159,175,197,205,211],"detection":[7],"of":[8,35,60,68,119,149,177,210,213],"a":[9,201],"range-spread":[10],"target":[11,15,46,97,101,178],"when":[12],"presumed":[14,96],"steering":[16,98,179],"matrix":[17,75,137,180],"deviated":[19],"from":[20],"actual":[22],"one.":[23],"Following":[24],"adaptive":[26],"beamformer":[27],"orthogonal":[28],"rejection":[29],"test":[30],"model,":[31],"decision":[33],"statistic":[34],"proposed":[37,151,198],"detector":[38,152,199],"involves":[39],"clutter-plus-noise":[42,73,135],"covariance":[43,74,136],"matrix,":[44,99],"component":[47,102],"after":[48],"noise":[49],"whitening":[50],"and":[51,131,156,167,194],"rotation,":[52],"as":[53,55],"well":[54],"sidelobe":[57,121],"interference":[58,122],"vectors":[59,123],"multiple":[61,111],"range":[62],"cells.":[63],"In":[64],"practical":[66],"realization":[67],"detector,":[70],"estimated":[77],"by":[78,105,141,183],"using":[79,164],"minimum":[81],"mean-square-error":[82],"regularized":[83],"secondary":[84],"data":[85],"sample":[86],"averaging.":[87],"Taking":[88],"into":[89],"account":[90],"mismatch":[92,181],"involved":[93,133],"in":[94,174,208],"obtained":[104],"least":[106],"square":[107],"fitting":[108],"subject":[109],"to":[110,204],"separate":[112],"conic":[113],"uncertainty":[114],"set":[115],"constraints.":[116],"The":[117,147,170],"estimation":[118],"also":[125],"based":[126],"on":[127],"Bayesian":[129,143],"statistics,":[130],"ultimately":[139],"replaced":[140],"its":[142],"estimate":[144],"previously":[145],"obtained.":[146],"performance":[148,203],"has":[153,200],"been":[154],"evaluated":[155],"compared":[157],"with":[158],"existing":[160],"popular":[161],"detectors":[163,207],"both":[165],"synthetic":[166],"real":[168],"data.":[169],"results":[171],"show":[172],"that":[173],"presence":[176],"caused":[182],"pointing":[184],"errors,":[185,188,191,196],"sensor":[186],"position":[187],"channel":[189],"calibration":[190],"multipath":[192],"propagation,":[193],"random":[195],"superior":[202],"current":[206],"terms":[209],"probability":[212],"detection.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
