{"id":"https://openalex.org/W7135025602","doi":"https://doi.org/10.1109/taes.2026.3673642","title":"Parametric GLRT-Based Adaptive Target Detection for FDA\u2013MIMO Radar in Gaussian Clutter","display_name":"Parametric GLRT-Based Adaptive Target Detection for FDA\u2013MIMO Radar in Gaussian Clutter","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135025602","doi":"https://doi.org/10.1109/taes.2026.3673642"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2026.3673642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3673642","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/A5128916828","display_name":"Changshan He","orcid":null},"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":"Changshan He","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-9619-1203","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128816224","display_name":"Bang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Bang Huang","raw_affiliation_strings":["Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-2249-8690","affiliations":[{"raw_affiliation_string":"Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128808446","display_name":"Jianping Wang","orcid":null},"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":"Jianping Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9450-8961","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128901399","display_name":"Lei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038156385","display_name":"Zhang Running","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Running Zhang","raw_affiliation_strings":["Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39960144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"7504","last_page":"7519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9710000157356262,"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":0.9710000157356262,"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":0.008899999782443047,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.765999972820282},{"id":"https://openalex.org/keywords/moving-target-indication","display_name":"Moving target indication","score":0.5515000224113464},{"id":"https://openalex.org/keywords/stationary-target-indication","display_name":"Stationary target indication","score":0.5329999923706055},{"id":"https://openalex.org/keywords/radar-detection","display_name":"Radar detection","score":0.5175999999046326},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5163000226020813},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5095000267028809},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.41690000891685486},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.39259999990463257},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.3919999897480011},{"id":"https://openalex.org/keywords/radar-horizon","display_name":"Radar horizon","score":0.39149999618530273}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.765999972820282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168000102043152},{"id":"https://openalex.org/C162416716","wikidata":"https://www.wikidata.org/wiki/Q446180","display_name":"Moving target indication","level":5,"score":0.5515000224113464},{"id":"https://openalex.org/C51196962","wikidata":"https://www.wikidata.org/wiki/Q16966352","display_name":"Stationary target indication","level":5,"score":0.5329999923706055},{"id":"https://openalex.org/C2989048297","wikidata":"https://www.wikidata.org/wiki/Q930654","display_name":"Radar detection","level":3,"score":0.5175999999046326},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5163000226020813},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975999891757965},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.41690000891685486},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C131493965","wikidata":"https://www.wikidata.org/wiki/Q7279983","display_name":"Radar horizon","level":5,"score":0.39149999618530273},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3912000060081482},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3885999917984009},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.37119999527931213},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.3637000024318695},{"id":"https://openalex.org/C173028925","wikidata":"https://www.wikidata.org/wiki/Q7831461","display_name":"Track-before-detect","level":4,"score":0.36059999465942383},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.3465000092983246},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.321399986743927},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.31769999861717224},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.31459999084472656},{"id":"https://openalex.org/C2987759513","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar signal processing","level":4,"score":0.3077999949455261},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C185565061","wikidata":"https://www.wikidata.org/wiki/Q6878284","display_name":"Radar lock-on","level":5,"score":0.3012999892234802},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C81076408","wikidata":"https://www.wikidata.org/wiki/Q229387","display_name":"3D radar","level":5,"score":0.2563999891281128},{"id":"https://openalex.org/C2984296375","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar systems","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2026.3673642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2026.3673642","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":0.7110838294029236,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W1504068501","https://openalex.org/W1506688500","https://openalex.org/W1541616279","https://openalex.org/W1986434325","https://openalex.org/W2001089427","https://openalex.org/W2018744547","https://openalex.org/W2019277696","https://openalex.org/W2050874550","https://openalex.org/W2087509840","https://openalex.org/W2100653957","https://openalex.org/W2111505171","https://openalex.org/W2134001300","https://openalex.org/W2136172243","https://openalex.org/W2162654459","https://openalex.org/W2163645146","https://openalex.org/W2165468651","https://openalex.org/W2171742473","https://openalex.org/W2195896080","https://openalex.org/W2328196818","https://openalex.org/W2512311144","https://openalex.org/W2513529200","https://openalex.org/W2760358621","https://openalex.org/W2887378023","https://openalex.org/W2889911215","https://openalex.org/W2899588206","https://openalex.org/W2971373613","https://openalex.org/W2989550119","https://openalex.org/W2995412367","https://openalex.org/W3003095441","https://openalex.org/W3032636944","https://openalex.org/W3048034530","https://openalex.org/W3087455651","https://openalex.org/W3089082755","https://openalex.org/W3089150683","https://openalex.org/W3092603992","https://openalex.org/W3126357218","https://openalex.org/W3164362257","https://openalex.org/W3213650573","https://openalex.org/W4206725256","https://openalex.org/W4225412139","https://openalex.org/W4295074044","https://openalex.org/W4367016589","https://openalex.org/W4376851219","https://openalex.org/W4388818724","https://openalex.org/W4399340047","https://openalex.org/W4404688063","https://openalex.org/W4405632106","https://openalex.org/W4407448904","https://openalex.org/W4409233193","https://openalex.org/W4410203978","https://openalex.org/W4411447527","https://openalex.org/W7128313915"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"moving":[3],"target":[4],"detection":[5,87,119],"with":[6],"limited":[7,30],"test":[8,49],"and/or":[9],"training":[10],"samples":[11],"for":[12],"frequency":[13],"diverse":[14],"array":[15],"multiple-input":[16],"multiple-output":[17],"(FDA-MIMO)":[18],"radar":[19],"under":[20],"Gaussian":[21],"environments.":[22],"To":[23],"overcome":[24],"the":[25,33,55,102,107,110,113],"performance":[26,120],"degradation":[27],"caused":[28],"by":[29],"test/training":[31,114],"samples,":[32],"disturbance":[34],"is":[35,52,61],"modeled":[36],"as":[37],"an":[38],"autoregressive":[39],"(AR)":[40],"process,":[41],"and":[42,63,88,97,116],"a":[43],"parametric":[44],"one-step":[45],"generalized":[46],"likelihood":[47,58,69],"ratio":[48],"(OGLRT)":[50],"detector":[51],"developed.":[53],"As":[54],"associated":[56],"maximum":[57,68],"(ML)":[59],"estimation":[60],"nonlinear":[62],"computationally":[64],"demanding,":[65],"two":[66],"asymptotic":[67,86],"(AML)":[70],"approaches":[71],"are":[72,80,92],"introduced":[73],"to":[74,83,122],"substantially":[75],"reduce":[76],"computational":[77],"complexity,":[78],"which":[79],"asymptotically":[81],"equivalent":[82],"ML.":[84],"The":[85],"false":[89],"alarm":[90],"probabilities":[91],"derived":[93],"in":[94],"closed":[95],"form,":[96],"numerical":[98],"simulations":[99],"validate":[100],"that":[101],"proposed":[103],"scheme":[104],"greatly":[105],"relaxes":[106],"requirement":[108],"of":[109,112],"number":[111],"data":[115],"significantly":[117],"improves":[118],"compared":[121],"conventional":[123],"methods.":[124]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2026-03-13T00:00:00"}