{"id":"https://openalex.org/W2158854197","doi":"https://doi.org/10.1109/icassp.2008.4518115","title":"Knowledge-aided adaptive beamforming","display_name":"Knowledge-aided adaptive beamforming","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2158854197","doi":"https://doi.org/10.1109/icassp.2008.4518115","mag":"2158854197"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110263818","display_name":"Xumin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xumin Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111938318","display_name":"Peter Stoica","orcid":null},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Peter Stoica","raw_affiliation_strings":["Department of Information Technology, University of Uppsala, Uppsala, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Uppsala, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25248054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2337","last_page":"2340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":1.0,"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":1.0,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9994999766349792,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/covariance-matrix","display_name":"Covariance matrix","score":0.7691672444343567},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5783195495605469},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5679347515106201},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.5506569147109985},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4996788501739502},{"id":"https://openalex.org/keywords/capon","display_name":"Capon","score":0.46869802474975586},{"id":"https://openalex.org/keywords/identity-matrix","display_name":"Identity matrix","score":0.46607184410095215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4630202651023865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4552243947982788},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43938812613487244},{"id":"https://openalex.org/keywords/sample-mean-and-sample-covariance","display_name":"Sample mean and sample covariance","score":0.4355889558792114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43538641929626465},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4286747872829437},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36770498752593994},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31155839562416077},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.0828813910484314}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7691672444343567},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5783195495605469},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5679347515106201},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.5506569147109985},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4996788501739502},{"id":"https://openalex.org/C2778955098","wikidata":"https://www.wikidata.org/wiki/Q594676","display_name":"Capon","level":3,"score":0.46869802474975586},{"id":"https://openalex.org/C134567657","wikidata":"https://www.wikidata.org/wiki/Q193794","display_name":"Identity matrix","level":3,"score":0.46607184410095215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4630202651023865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4552243947982788},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43938812613487244},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.4355889558792114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43538641929626465},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4286747872829437},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36770498752593994},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31155839562416077},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0828813910484314},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2008.4518115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W569044641","https://openalex.org/W2062125287","https://openalex.org/W2066218102","https://openalex.org/W2161724842","https://openalex.org/W2539856197","https://openalex.org/W3124227816","https://openalex.org/W6616010302","https://openalex.org/W6682042157","https://openalex.org/W6684159881"],"related_works":["https://openalex.org/W1990699697","https://openalex.org/W2943800678","https://openalex.org/W2548664798","https://openalex.org/W2383148535","https://openalex.org/W3112142008","https://openalex.org/W2312730773","https://openalex.org/W2010871203","https://openalex.org/W1985941812","https://openalex.org/W2736720340","https://openalex.org/W2085680530"],"abstract_inverted_index":{"In":[0,57],"array":[1],"processing,":[2],"when":[3],"the":[4,15,18,28,74,80,106,118],"available":[5],"snapshot":[6],"number":[7],"is":[8,23,47],"comparable":[9],"with":[10],"or":[11],"even":[12],"smaller":[13],"than":[14],"sensor":[16],"number,":[17],"sample":[19,81],"covariance":[20,30,54,77,82],"matrix":[21,31,55,78,83,88],"R":[22,35,113,116],"a":[24,52,75],"poor":[25],"estimate":[26,34,94],"of":[27,42,73,95,108,115],"true":[29],"R.":[32,99],"To":[33],"more":[36],"accurately,":[37],"we":[38,60],"can":[39],"make":[40],"use":[41],"prior":[43],"environmental":[44],"knowledge,":[45],"which":[46],"manifested":[48],"as":[49,98],"knowing":[50],"an":[51,86,92],"priori":[53,76],"R0.":[56],"this":[58],"paper,":[59],"consider":[61],"both":[62],"modified":[63,69],"general":[64],"linear":[65],"combinations":[66,71],"(MGLC)":[67],"and":[68,85],"convex":[70],"(MCC)":[72],"R0,":[79],"R,":[84,96],"identity":[87],"I":[89],"to":[90,104],"get":[91],"enhanced":[93],"denoted":[97],"Numerical":[100],"examples":[101],"are":[102],"provided":[103],"demonstrate":[105],"type":[107],"achievable":[109],"performance":[110],"by":[111],"using":[112],"instead":[114],"in":[117],"standard":[119],"Capon":[120],"beamformer.":[121]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
