{"id":"https://openalex.org/W1606535863","doi":"https://doi.org/10.1109/lcomm.2015.2455503","title":"Robust Adaptive Beamforming Based on Steering Vector Estimation and Covariance Matrix Reconstruction","display_name":"Robust Adaptive Beamforming Based on Steering Vector Estimation and Covariance Matrix Reconstruction","publication_year":2015,"publication_date":"2015-07-13","ids":{"openalex":"https://openalex.org/W1606535863","doi":"https://doi.org/10.1109/lcomm.2015.2455503","mag":"1606535863"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2015.2455503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2015.2455503","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5069987140","display_name":"Feng Shen","orcid":"https://orcid.org/0000-0003-3671-7014"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shen","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China","College of automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091722450","display_name":"Fengfeng Chen","orcid":"https://orcid.org/0000-0001-5977-1799"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengfeng Chen","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China","College of automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018612685","display_name":"Jinyang Song","orcid":"https://orcid.org/0000-0002-0030-7008"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Song","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China","College of automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":3.6951,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.93726504,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"19","issue":"9","first_page":"1636","last_page":"1639"},"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":0.9987000226974487,"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":0.998199999332428,"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/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.7071537375450134},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6982693672180176},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5880902409553528},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5472743511199951},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5261342525482178},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.5199590921401978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4780219793319702},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4778708815574646},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4772919714450836},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4467242956161499},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.42953547835350037},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4130028784275055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40959736704826355},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2496238648891449},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12923318147659302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09998020529747009}],"concepts":[{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.7071537375450134},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6982693672180176},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5880902409553528},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5472743511199951},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5261342525482178},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.5199590921401978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4780219793319702},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4778708815574646},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4772919714450836},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4467242956161499},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.42953547835350037},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4130028784275055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40959736704826355},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2496238648891449},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12923318147659302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09998020529747009},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2015.2455503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2015.2455503","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3644863085","display_name":null,"funder_award_id":"HEUCFX41310","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7437744717","display_name":null,"funder_award_id":"61102107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7827752550","display_name":"\u57fa\u4e8eMEMS\u7684\u8054\u90a6\u5f0fGPS/MIMU\u6df1\u7ec4\u5408\u8ddf\u8e2a\u73af\u8def\u4fe1\u53f7\u5904\u7406\u4e0e\u975e\u7ebf\u6027\u6ee4\u6ce2\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61374208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1537030144","https://openalex.org/W1971846076","https://openalex.org/W2005602327","https://openalex.org/W2100838904","https://openalex.org/W2104160780","https://openalex.org/W2113168978","https://openalex.org/W2121484391","https://openalex.org/W2129486463","https://openalex.org/W2148113844","https://openalex.org/W2154354807","https://openalex.org/W3104682973","https://openalex.org/W6634422249"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2996333928","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W1976800395","https://openalex.org/W2105408150","https://openalex.org/W3013496310","https://openalex.org/W2606661315","https://openalex.org/W2548445082"],"abstract_inverted_index":{"In":[0,35,63],"this":[1,64],"letter,":[2],"a":[3,46,60,89],"novel":[4],"robust":[5,14],"adaptive":[6],"beamforming":[7],"(RAB)":[8],"technique":[9,41],"is":[10,69,77,101,142],"proposed.":[11],"It":[12],"offers":[13],"performance":[15,126],"even":[16],"with":[17],"large":[18,90],"look":[19],"direction":[20],"error":[21],"in":[22,31,111,127],"the":[23,32,37,43,50,66,72,80,84,93,96,104,113,121,137,146,151],"array":[24,106],"steering":[25],"vector":[26,47],"(ASV)":[27],"and":[28,55,108,150,153],"an":[29],"uncertainty":[30],"covariance":[33,67],"matrix.":[34],"essence,":[36],"proposed":[38,122],"ASV":[39,44,115],"estimation":[40],"treats":[42],"as":[45,134,136],"lying":[48],"within":[49],"intersection":[51],"of":[52,83,92,103,129],"two":[53],"subspaces,":[54],"then":[56],"estimates":[57],"it":[58],"using":[59],"closed-form":[61],"formula.":[62],"technique,":[65],"matrix":[68],"reconstructed":[70],"after":[71],"desired":[73],"signal":[74],"(DS)":[75],"eigenvalue":[76],"replaced":[78],"by":[79],"average":[81],"value":[82],"noise":[85],"eigenvalues,":[86],"thus":[87],"eliminating":[88],"portion":[91],"DS.":[94],"Furthermore,":[95],"only":[97],"prior":[98],"information":[99],"necessary":[100],"knowledge":[102],"antenna":[105],"geometry":[107],"angular":[109],"sector":[110],"which":[112],"actual":[114],"lies.":[116],"Simulation":[117],"results":[118],"indicate":[119],"that":[120],"method":[123],"achieves":[124],"good":[125],"terms":[128],"output":[130],"signal-to-interference-plus-noise":[131],"ratio":[132,140,148],"(SINR),":[133],"long":[135],"input":[138],"signal-to-noise":[139],"(SNR)":[141],"not":[143],"close":[144],"to":[145],"interference-to-noise":[147],"(INR)":[149],"DS":[152],"interference":[154],"signals":[155],"are":[156],"well":[157],"separated.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
