{"id":"https://openalex.org/W1483682229","doi":"https://doi.org/10.1109/chinasip.2015.7230500","title":"Robust widely linear adaptive MVDR beamformer based on interference-plus-noise covariance matrix and steering vector estimation","display_name":"Robust widely linear adaptive MVDR beamformer based on interference-plus-noise covariance matrix and steering vector estimation","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1483682229","doi":"https://doi.org/10.1109/chinasip.2015.7230500","mag":"1483682229"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2015.7230500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2015.7230500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)","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/A5067632093","display_name":"Yonghua Wang","orcid":"https://orcid.org/0000-0002-0051-7224"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Wang","raw_affiliation_strings":["Department of Electronic and Information Engineering, Shenzhen Graduate School, Shenzhen, China","Dept. of Electronic & Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electronic & Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108051851","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0002-2024-1130"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Department of Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020192481","display_name":"Yunmei Shi","orcid":"https://orcid.org/0000-0002-3051-4796"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunmei Shi","raw_affiliation_strings":["Department of Electronic and Information Engineering, Shenzhen Graduate School, Shenzhen, China","Dept. of Electronic & Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electronic & Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"90","issue":null,"first_page":"726","last_page":"730"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9984999895095825,"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/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.7440725564956665},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.73261559009552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5912236571311951},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.5560876727104187},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5423690676689148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5408056974411011},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5380778908729553},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5251697897911072},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5238630771636963},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.47048547863960266},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4645141661167145},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.41890770196914673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3211667537689209},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.26575934886932373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1628642976284027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13157564401626587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11846941709518433}],"concepts":[{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.7440725564956665},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.73261559009552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5912236571311951},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.5560876727104187},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5423690676689148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5408056974411011},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5380778908729553},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5251697897911072},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5238630771636963},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.47048547863960266},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4645141661167145},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.41890770196914673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3211667537689209},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.26575934886932373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1628642976284027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13157564401626587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11846941709518433},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2015.7230500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2015.7230500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1514558801","https://openalex.org/W1537030144","https://openalex.org/W1971846076","https://openalex.org/W1975067759","https://openalex.org/W1975492575","https://openalex.org/W1995301326","https://openalex.org/W2037095848","https://openalex.org/W2056348142","https://openalex.org/W2093225945","https://openalex.org/W2105271339","https://openalex.org/W2119963163","https://openalex.org/W2121484391","https://openalex.org/W2147650645","https://openalex.org/W2167705656","https://openalex.org/W2294288691","https://openalex.org/W2317527923","https://openalex.org/W3104682973"],"related_works":["https://openalex.org/W3013496310","https://openalex.org/W2807497897","https://openalex.org/W2761218246","https://openalex.org/W4225264158","https://openalex.org/W2019022680","https://openalex.org/W2242301815","https://openalex.org/W2793870329","https://openalex.org/W2392382502","https://openalex.org/W2886934452","https://openalex.org/W2037962720"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,49,85],"robust":[4],"widely":[5],"linear":[6],"adaptive":[7],"beamformer":[8],"is":[9,15,36,68],"proposed":[10,80],"for":[11],"noncircular":[12],"signals,":[13],"which":[14,51],"able":[16],"to":[17],"efficiently":[18],"reconstruct":[19],"the":[20,27,33,39,53,56,61,65,71,79,84,89,93],"interference-plus-noise":[21],"covariance":[22,34],"matrix":[23,35],"(IN-CM)":[24],"and":[25,96],"estimate":[26],"extended":[28],"steering":[29,62],"vector.":[30],"Estimation":[31],"of":[32,55,64,88,92],"based":[37],"on":[38],"minimum":[40],"variance":[41],"distortionless":[42],"response":[43],"(MVDR)":[44],"spatial":[45],"spectrum":[46],"integrated":[47],"over":[48],"region":[50],"excludes":[52],"direction":[54],"desired":[57,66,94],"signal.":[58],"Where":[59],"after,":[60],"vector":[63],"signal":[67,95],"determined":[69],"using":[70],"low-complexity":[72],"oracle":[73],"approximating":[74],"shrinkage":[75],"(OAS)":[76],"technique.":[77],"Moreover,":[78],"algorithm":[81],"only":[82],"requires":[83],"priori":[86],"knowledge":[87],"angular":[90],"sector":[91],"array":[97],"structure.":[98],"Simulation":[99],"results":[100],"show":[101],"that":[102],"our":[103],"solution":[104],"provides":[105],"larger":[106],"signal-to-intereference-plus-noise":[107],"ratio":[108],"than":[109],"several":[110],"conventional":[111],"methods.":[112]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
