{"id":"https://openalex.org/W2161916279","doi":"https://doi.org/10.1109/camsap.2013.6714016","title":"Enhanced Capon beamformer using regularized covariance matching","display_name":"Enhanced Capon beamformer using regularized covariance matching","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2161916279","doi":"https://doi.org/10.1109/camsap.2013.6714016","mag":"2161916279"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2013.6714016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2013.6714016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-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/A5043094282","display_name":"Dave Zachariah","orcid":"https://orcid.org/0000-0002-6698-0166"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Dave Zachariah","raw_affiliation_strings":["ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019386542","display_name":"Magnus Jansson","orcid":"https://orcid.org/0000-0002-6855-5868"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Magnus Jansson","raw_affiliation_strings":["ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101692633","display_name":"Saikat Chatterjee","orcid":"https://orcid.org/0000-0003-2638-6047"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Saikat Chatterjee","raw_affiliation_strings":["ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Center KTH Royal Institute of Technology Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"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":1,"citation_normalized_percentile":{"value":0.1834873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9991999864578247,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/capon","display_name":"Capon","score":0.9843403697013855},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6002265810966492},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5872652530670166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5414256453514099},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4896722137928009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44289910793304443},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4378373622894287},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.42951512336730957},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4268261790275574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4144763946533203},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.24499750137329102},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2406996488571167},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08084231615066528},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06981232762336731}],"concepts":[{"id":"https://openalex.org/C2778955098","wikidata":"https://www.wikidata.org/wiki/Q594676","display_name":"Capon","level":3,"score":0.9843403697013855},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6002265810966492},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5872652530670166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5414256453514099},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4896722137928009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44289910793304443},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4378373622894287},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.42951512336730957},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4268261790275574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4144763946533203},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.24499750137329102},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2406996488571167},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08084231615066528},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06981232762336731},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2013.6714016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2013.6714016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1966689695","https://openalex.org/W1990381576","https://openalex.org/W2019945856","https://openalex.org/W2050297026","https://openalex.org/W2051914727","https://openalex.org/W2066218102","https://openalex.org/W2077430220","https://openalex.org/W2086033458","https://openalex.org/W2100693051","https://openalex.org/W2103049885","https://openalex.org/W2161374719","https://openalex.org/W2165941627","https://openalex.org/W4302564868","https://openalex.org/W6684217156"],"related_works":["https://openalex.org/W4225083520","https://openalex.org/W2106161482","https://openalex.org/W4387829257","https://openalex.org/W2126622604","https://openalex.org/W2762211313","https://openalex.org/W4381893999","https://openalex.org/W2069366725","https://openalex.org/W3191156915","https://openalex.org/W2762529222","https://openalex.org/W4361200219"],"abstract_inverted_index":{"The":[0,72],"Capon":[1,44],"method":[2],"is":[3,24,50],"a":[4,31],"powerful":[5],"nonparametric":[6],"approach":[7],"in":[8],"array":[9],"processing":[10],"based":[11,36],"on":[12,37],"the":[13,38,43,65,69],"sample":[14,19],"covariance":[15,33],"matrix.":[16],"For":[17],"small":[18],"sets,":[20],"however,":[21],"its":[22],"performance":[23],"degraded.":[25],"In":[26],"this":[27],"paper":[28],"we":[29],"formulate":[30],"regularized":[32],"matching":[34],"framework":[35],"nuclear":[39],"norm":[40],"for":[41],"enhancing":[42],"method.":[45],"An":[46],"approximate":[47],"iterative":[48],"solution":[49],"developed":[51],"and":[52,79],"tested":[53],"using":[54],"simulated":[55],"data.":[56],"Appropriate":[57],"regularization":[58],"parameter":[59],"values":[60],"are":[61],"also":[62],"inferred":[63],"from":[64],"data,":[66],"drawing":[67],"upon":[68],"cross-validation":[70],"approach.":[71],"results":[73],"show":[74],"significantly":[75],"improved":[76],"spatial":[77],"spectral":[78],"signal":[80],"waveform":[81],"estimates.":[82]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}