{"id":"https://openalex.org/W2136172243","doi":"https://doi.org/10.1109/tsp.2009.2030835","title":"A New Parametric GLRT for Multichannel Adaptive Signal Detection","display_name":"A New Parametric GLRT for Multichannel Adaptive Signal Detection","publication_year":2009,"publication_date":"2009-08-25","ids":{"openalex":"https://openalex.org/W2136172243","doi":"https://doi.org/10.1109/tsp.2009.2030835","mag":"2136172243"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2009.2030835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2009.2030835","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/A5100383518","display_name":"Pu Wang","orcid":"https://orcid.org/0000-0002-4718-3102"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pu Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365817","display_name":"Hongbin Li","orcid":"https://orcid.org/0000-0003-1453-847X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012490058","display_name":"Braham Himed","orcid":"https://orcid.org/0000-0003-0053-6270"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Braham Himed","raw_affiliation_strings":["Radar Signal Processing Technology Branch, Air Force Research Laboratory, Dayton, OH, USA","Radar Signal Process. Technol. Branch, Air Force Res. Lab., Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Signal Processing Technology Branch, Air Force Research Laboratory, Dayton, OH, USA","institution_ids":["https://openalex.org/I1280414376","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Radar Signal Process. Technol. Branch, Air Force Res. Lab., Dayton, OH, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1728,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.92068084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"1","first_page":"317","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9957000017166138,"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":0.7643686532974243},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.659356951713562},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6482539176940918},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5729631185531616},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5623283386230469},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5164778232574463},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5029439330101013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47128456830978394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4650956392288208},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.43139564990997314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3926065266132355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3519418239593506}],"concepts":[{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.7643686532974243},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.659356951713562},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6482539176940918},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5729631185531616},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5623283386230469},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5164778232574463},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5029439330101013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47128456830978394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4650956392288208},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.43139564990997314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3926065266132355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3519418239593506},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2009.2030835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2009.2030835","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":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320333491","display_name":"Palo Alto Medical Foundation","ror":null},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1597732836","https://openalex.org/W1973176871","https://openalex.org/W1981745143","https://openalex.org/W1986921156","https://openalex.org/W2013438974","https://openalex.org/W2029415566","https://openalex.org/W2037831591","https://openalex.org/W2050874550","https://openalex.org/W2089761788","https://openalex.org/W2096972831","https://openalex.org/W2097559412","https://openalex.org/W2100653957","https://openalex.org/W2103077527","https://openalex.org/W2114256390","https://openalex.org/W2118771073","https://openalex.org/W2120778167","https://openalex.org/W2122845919","https://openalex.org/W2128367393","https://openalex.org/W2136688893","https://openalex.org/W2139965270","https://openalex.org/W2144158572","https://openalex.org/W2155772990","https://openalex.org/W2161321198","https://openalex.org/W2166067473","https://openalex.org/W2166307990","https://openalex.org/W2166904063","https://openalex.org/W2171742473","https://openalex.org/W2610857016","https://openalex.org/W6684391177"],"related_works":["https://openalex.org/W2624832571","https://openalex.org/W2999646170","https://openalex.org/W2983867517","https://openalex.org/W2101143475","https://openalex.org/W1972959573","https://openalex.org/W2248286678","https://openalex.org/W2099366044","https://openalex.org/W2050874550","https://openalex.org/W1969225055","https://openalex.org/W2126718817"],"abstract_inverted_index":{"A":[0],"parametric":[1,135],"generalized":[2],"likelihood":[3,38],"ratio":[4],"test":[5],"(GLRT)":[6],"for":[7,68,103],"multichannel":[8,26,136,157],"signal":[9,137],"detection":[10,96,138],"in":[11,79,173],"spatially":[12],"and":[13,74,160],"temporally":[14],"colored":[15],"disturbance":[16,23],"was":[17,42,154],"recently":[18],"introduced":[19],"by":[20,51],"modeling":[21],"the":[22,69,72,75,90,99,104,111,126,134,143,161],"as":[24,98],"a":[25,34,45,52,60,65,94,150,164],"autoregressive":[27],"(AR)":[28],"process.":[29],"The":[30,140],"detector,":[31],"however,":[32],"involves":[33],"highly":[35],"nonlinear":[36],"maximum":[37],"estimation":[39],"procedure,":[40],"which":[41,153],"solved":[43],"via":[44],"two-dimensional":[46],"iterative":[47],"search":[48],"method":[49],"initialized":[50],"suboptimal":[53],"estimator.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"simplified":[61],"GLRT":[62,76,92,113,128],"along":[63],"with":[64,168],"new":[66,91,127],"estimator":[67,73],"problem.":[70,139],"Both":[71],"are":[77],"derived":[78],"closed":[80],"form":[81],"at":[82],"considerably":[83],"lower":[84],"complexity.":[85],"With":[86],"adequate":[87],"training":[88],"data,":[89],"achieves":[93],"similar":[95],"performance":[97,141],"original":[100,112],"one.":[101],"However,":[102],"more":[105],"interesting":[106],"case":[107],"of":[108,122,142],"limited":[109],"training,":[110],"may":[114],"become":[115],"inferior":[116],"due":[117],"to":[118],"poor":[119],"initialization.":[120],"Because":[121],"its":[123],"simpler":[124],"form,":[125],"also":[129],"offers":[130],"additional":[131],"insight":[132],"into":[133],"proposed":[144],"detector":[145],"is":[146],"assessed":[147],"using":[148,156],"both":[149],"simulated":[151],"dataset,":[152,163],"generated":[155],"AR":[158],"models,":[159],"KASSPER":[162],"widely":[165],"used":[166],"dataset":[167],"challenging":[169],"heterogeneous":[170],"effects":[171],"found":[172],"real-world":[174],"environments.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}