{"id":"https://openalex.org/W1537030144","doi":"https://doi.org/10.1109/lsp.2013.2290948","title":"Robust Adaptive Beamforming Using a Low-Complexity Shrinkage-Based Mismatch Estimation Algorithm","display_name":"Robust Adaptive Beamforming Using a Low-Complexity Shrinkage-Based Mismatch Estimation Algorithm","publication_year":2013,"publication_date":"2013-11-19","ids":{"openalex":"https://openalex.org/W1537030144","doi":"https://doi.org/10.1109/lsp.2013.2290948","mag":"1537030144"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2290948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2290948","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1311.2331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hang Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hang Ruan","raw_affiliation_strings":["Department of Electronics, University of York, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":null,"display_name":"Rodrigo C. de Lamare","orcid":null},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo C. de Lamare","raw_affiliation_strings":["CETUC/PUC-Rio, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETUC/PUC-Rio, Brazil","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7615,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.95144318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"60","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9352999925613403,"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":0.9352999925613403,"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":0.0284000001847744,"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":0.005900000222027302,"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/covariance-matrix","display_name":"Covariance matrix","score":0.7411999702453613},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.6625000238418579},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5185999870300293},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4537000060081482},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.40529999136924744},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.396699994802475},{"id":"https://openalex.org/keywords/capon","display_name":"Capon","score":0.38940000534057617},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.38519999384880066},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.3310000002384186}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7411999702453613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7351999878883362},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.6625000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236000061035156},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C2778955098","wikidata":"https://www.wikidata.org/wiki/Q594676","display_name":"Capon","level":3,"score":0.38940000534057617},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.38519999384880066},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C62191587","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Antenna array","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.30329999327659607},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2702000141143799},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2013.2290948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2290948","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1311.2331","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1311.2331","pdf_url":"https://arxiv.org/pdf/1311.2331","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1311.2331","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1311.2331","pdf_url":"https://arxiv.org/pdf/1311.2331","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1971846076","https://openalex.org/W2005602327","https://openalex.org/W2062125287","https://openalex.org/W2099857779","https://openalex.org/W2100975169","https://openalex.org/W2103483656","https://openalex.org/W2109017219","https://openalex.org/W2113168978","https://openalex.org/W2118389391","https://openalex.org/W2121484391","https://openalex.org/W2152170019","https://openalex.org/W2153750271","https://openalex.org/W2154354807","https://openalex.org/W2169749822","https://openalex.org/W6661691199"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W818226659","https://openalex.org/W38689660","https://openalex.org/W2330945962","https://openalex.org/W2369142761","https://openalex.org/W2156430368","https://openalex.org/W2165701206","https://openalex.org/W2158769234","https://openalex.org/W1538646905","https://openalex.org/W2374720112"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,18,77,110],"low-complexity":[6],"robust":[7],"adaptive":[8],"beamforming":[9],"(RAB)":[10],"technique":[11],"which":[12,61,92],"estimates":[13,29],"the":[14,30,34,38,45,57,62,69,90,115],"steering":[15,64],"vector":[16,65],"using":[17,44],"Low-Complexity":[19],"Shrinkage-Based":[20],"Mismatch":[21],"Estimation":[22],"(LOCSME)":[23],"algorithm.":[24],"The":[25],"proposed":[26],"LOCSME":[27,51,73,102],"algorithm":[28,80],"covariance":[31,40],"matrix":[32,42],"of":[33,56],"input":[35],"data":[36],"and":[37,68,81,108],"interference-plus-noise":[39],"(INC)":[41],"by":[43],"Oracle":[46],"Approximating":[47],"Shrinkage":[48],"(OAS)":[49],"method.":[50],"only":[52],"requires":[53],"prior":[54],"knowledge":[55],"angular":[58],"sector":[59],"in":[60],"actual":[63],"is":[66],"located":[67],"antenna":[70],"array":[71],"geometry.":[72],"does":[74,82],"not":[75,83],"require":[76],"costly":[78],"optimization":[79],"need":[84],"to":[85,114],"know":[86],"extra":[87],"information":[88],"from":[89],"interferers,":[91],"avoids":[93],"direction":[94],"finding":[95],"for":[96],"all":[97],"interferers.":[98],"Simulations":[99],"show":[100],"that":[101],"outperforms":[103],"previously":[104],"reported":[105],"RAB":[106],"algorithms":[107],"has":[109],"performance":[111],"very":[112],"close":[113],"optimum.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
