{"id":"https://openalex.org/W4206725256","doi":"https://doi.org/10.1109/tvt.2021.3139894","title":"Bayesian Detection in Gaussian Clutter for FDA-MIMO Radar","display_name":"Bayesian Detection in Gaussian Clutter for FDA-MIMO Radar","publication_year":2022,"publication_date":"2022-01-04","ids":{"openalex":"https://openalex.org/W4206725256","doi":"https://doi.org/10.1109/tvt.2021.3139894"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3139894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3139894","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5063674026","display_name":"Bang Huang","orcid":"https://orcid.org/0000-0003-2249-8690"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bang Huang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2249-8690","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049463786","display_name":"Wen-Qin Wang","orcid":"https://orcid.org/0000-0003-4466-9585"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Qin Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4466-9585","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091024046","display_name":"Abdul Basit","orcid":"https://orcid.org/0000-0001-7361-8985"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdul Basit","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7361-8985","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110551761","display_name":"Ronghua Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Gui","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.4652,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.98808782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":"3","first_page":"2655","last_page":"2667"},"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":0.9908000230789185,"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":0.9898999929428101,"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/clutter","display_name":"Clutter","score":0.744027853012085},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5770711302757263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5370025038719177},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5325096249580383},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4937764108181},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.48990339040756226},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.48693907260894775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48528143763542175},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.47511205077171326},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42082133889198303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3384496569633484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29938557744026184},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2980664372444153},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1589164435863495},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.08264446258544922}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.744027853012085},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5770711302757263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5370025038719177},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5325096249580383},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4937764108181},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.48990339040756226},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.48693907260894775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48528143763542175},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.47511205077171326},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42082133889198303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3384496569633484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29938557744026184},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2980664372444153},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1589164435863495},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.08264446258544922}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2021.3139894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3139894","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4308700709","display_name":"\u57fa\u4e8e\u9891\u63a7\u9635\u7684\u96f7\u8fbe\u5c04\u9891\u9690\u8eab\u7406\u8bba\u673a\u7406\u4e0e\u6ce2\u675f\u5f62\u6210\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61571081","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":42,"referenced_works":["https://openalex.org/W65255600","https://openalex.org/W151604921","https://openalex.org/W1547176439","https://openalex.org/W1974637548","https://openalex.org/W2004333449","https://openalex.org/W2062608344","https://openalex.org/W2128367393","https://openalex.org/W2130573040","https://openalex.org/W2161943211","https://openalex.org/W2164137373","https://openalex.org/W2165468651","https://openalex.org/W2328196818","https://openalex.org/W2513529200","https://openalex.org/W2546854186","https://openalex.org/W2549326866","https://openalex.org/W2625527413","https://openalex.org/W2640195135","https://openalex.org/W2742903599","https://openalex.org/W2765104835","https://openalex.org/W2765561517","https://openalex.org/W2771043316","https://openalex.org/W2808672126","https://openalex.org/W2810991012","https://openalex.org/W2899663635","https://openalex.org/W2972944518","https://openalex.org/W2982434818","https://openalex.org/W2989181679","https://openalex.org/W2997323655","https://openalex.org/W2997530292","https://openalex.org/W2998420565","https://openalex.org/W2999796352","https://openalex.org/W3042199836","https://openalex.org/W3048034530","https://openalex.org/W3068355064","https://openalex.org/W3087455651","https://openalex.org/W3089082755","https://openalex.org/W3092603992","https://openalex.org/W3112192177","https://openalex.org/W3115297683","https://openalex.org/W3165611620","https://openalex.org/W4206180546","https://openalex.org/W4233197277"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W4387803549"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,63,73,89,92,104],"Bayesian":[4,38,64,106],"detection":[5],"problem":[6],"for":[7,26,82,132],"a":[8,15,37,59,122],"moving":[9],"target":[10],"that":[11,51,103],"is":[12,97],"embedded":[13],"in":[14,85,118],"homogeneous":[16],"Gaussian":[17,119],"clutter":[18,120],"with":[19,121],"an":[20],"unknown":[21],"but":[22],"stochastic":[23],"covariance":[24],"matrix":[25],"frequency":[27],"diverse":[28],"array":[29],"multiple-input":[30],"multiple-output":[31],"(FDA-MIMO)":[32],"radar.":[33,134],"First,":[34],"we":[35,57],"propose":[36],"detector":[39,60],"based":[40,61],"on":[41,62],"structured":[42],"generalized":[43,66],"likelihood":[44,67],"ratio":[45,68],"test":[46,69],"(SGLRT),":[47],"namely":[48],"BSGLRT,":[49],"criteria":[50],"requires":[52],"no":[53],"training":[54],"data.":[55],"Then,":[56],"present":[58],"unstructured":[65],"(BUGLRT)":[70],"to":[71],"reduce":[72],"three":[74],"dimensions":[75],"(range-angle-Doppler)":[76],"search":[77],"into":[78],"one-dimension":[79],"Doppler":[80],"searches":[81],"low-complexity":[83],"implementation":[84],"practical":[86],"applications.":[87],"Moreover,":[88],"robustness":[90],"of":[91,125],"BSGLRT":[93,111],"and":[94,108,112],"BUGLRT":[95],"detectors":[96,107],"also":[98],"analyzed.":[99],"Numerical":[100],"results":[101],"reveal":[102],"proposed":[105],"estimators,":[109],"i.e.":[110],"BUGLRT,":[113],"outperform":[114],"their":[115],"non-Bayesian":[116],"counterparts":[117],"small":[123],"number":[124],"snapshots":[126],"and/or":[127],"low":[128],"signal-to-clutter":[129],"rate":[130],"(SCR)":[131],"FDA-MIMO":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}