{"id":"https://openalex.org/W2104908749","doi":"https://doi.org/10.1109/taes.2011.5937269","title":"Parametric Rao Tests for Multichannel Adaptive Detection in Partially Homogeneous Environment","display_name":"Parametric Rao Tests for Multichannel Adaptive Detection in Partially Homogeneous Environment","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2104908749","doi":"https://doi.org/10.1109/taes.2011.5937269","mag":"2104908749"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2011.5937269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2011.5937269","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/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":true,"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#"],"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#"],"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Braham Himed","raw_affiliation_strings":["RYMD, AFRL, Dayton, OH, USA","RYMD, Air Force Res. Lab., Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"RYMD, AFRL, Dayton, OH, USA","institution_ids":[]},{"raw_affiliation_string":"RYMD, 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":["https://openalex.org/A5100383518"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":72.6422,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.99666018,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"47","issue":"3","first_page":"1850","last_page":"1862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9970999956130981,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9954000115394592,"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/covariance-matrix","display_name":"Covariance matrix","score":0.7280770540237427},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5789957046508789},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5603983402252197},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5376260280609131},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5108396410942078},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.49636775255203247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4548225998878479},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.44567161798477173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43427830934524536},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42100846767425537},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.414835661649704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2466086745262146}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7280770540237427},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5789957046508789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5603983402252197},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5376260280609131},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5108396410942078},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.49636775255203247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4548225998878479},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.44567161798477173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43427830934524536},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42100846767425537},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.414835661649704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2466086745262146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2011.5937269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2011.5937269","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.914.8568","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.914.8568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dtic.mil/get-tr-doc/pdf?AD%3DADA544642%26Location%3DU2%26doc%3DGetTRDoc.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W351530235","https://openalex.org/W1594866568","https://openalex.org/W1965392255","https://openalex.org/W1986921156","https://openalex.org/W2013438974","https://openalex.org/W2029415566","https://openalex.org/W2050874550","https://openalex.org/W2065703585","https://openalex.org/W2067782748","https://openalex.org/W2077134290","https://openalex.org/W2078296814","https://openalex.org/W2096972831","https://openalex.org/W2100653957","https://openalex.org/W2104076888","https://openalex.org/W2106199973","https://openalex.org/W2106999806","https://openalex.org/W2125341398","https://openalex.org/W2126568557","https://openalex.org/W2135554559","https://openalex.org/W2143447102","https://openalex.org/W2144158572","https://openalex.org/W2152426525","https://openalex.org/W2152451050","https://openalex.org/W2155772990","https://openalex.org/W2159195662","https://openalex.org/W2166307990","https://openalex.org/W2171742473","https://openalex.org/W2798909945","https://openalex.org/W3023218716","https://openalex.org/W6675275145"],"related_works":["https://openalex.org/W2144158572","https://openalex.org/W1986921156","https://openalex.org/W2136172243","https://openalex.org/W2106999806","https://openalex.org/W2142517930","https://openalex.org/W2050874550","https://openalex.org/W1984614739","https://openalex.org/W2171742473","https://openalex.org/W2149826217","https://openalex.org/W2091489596","https://openalex.org/W2159195662","https://openalex.org/W2118896231","https://openalex.org/W2075261934","https://openalex.org/W1973176871","https://openalex.org/W2125341398","https://openalex.org/W2107470042","https://openalex.org/W2106199973","https://openalex.org/W2106124974","https://openalex.org/W2100653957","https://openalex.org/W1663612341"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,15,25,44,51,62,106,114,118,131,142,148,162],"problem":[4],"of":[5,105,113],"detecting":[6],"a":[7,65,96],"multichannel":[8,66],"signal":[9,20],"in":[10,17,146],"partially":[11],"homogeneous":[12],"environments,":[13],"where":[14],"disturbances":[16],"both":[18],"test":[19,49,93,126],"and":[21,50,72,79,109,156],"training":[22,77,160],"signals":[23],"share":[24],"same":[26],"covariance":[27,87,107,119],"matrix":[28,88,108,120],"up":[29],"to":[30,42],"an":[31],"unknown":[32],"power":[33,110],"scaling":[34,111],"factor.":[35],"Two":[36],"different":[37],"parametric":[38,46,53,143],"Rao":[39,47,54,144],"tests,":[40],"referred":[41],"as":[43,64,130],"normalized":[45],"(NPRao)":[48],"scale-invariant":[52,122],"(SI-PRao)":[55],"test,":[56,150],"respectively,":[57],"are":[58,136],"developed":[59],"by":[60],"modeling":[61],"disturbance":[63],"autoregressive":[67],"(AR)":[68],"process.":[69],"The":[70,91],"NPRao":[71],"SI-PRao":[73,92,149],"tests":[74],"entail":[75],"reduced":[76],"requirements":[78],"computational":[80],"efficiency,":[81],"compared":[82],"with":[83,117],"conventional":[84],"fully":[85],"adaptive,":[86],"based":[89],"solutions.":[90],"attains":[94],"asymptotically":[95],"constant":[97],"false":[98],"alarm":[99],"rate":[100],"(CFAR)":[101],"that":[102,141],"is":[103],"independent":[104],"factor":[112],"disturbance.":[115],"Comparisons":[116],"based,":[121],"generalized":[123],"likelihood":[124],"ratio":[125],"(GLRT),":[127],"also":[128],"known":[129],"adaptive":[132],"coherence":[133],"estimator":[134],"(ACE),":[135],"included.":[137],"Numerical":[138],"results":[139],"show":[140],"detectors,":[145],"particular":[147],"attain":[151],"considerably":[152],"better":[153],"detection":[154],"performance":[155],"use":[157],"significantly":[158],"less":[159],"than":[161],"ACE":[163],"detector.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}