{"id":"https://openalex.org/W2938737567","doi":"https://doi.org/10.1109/icassp.2019.8683645","title":"A New Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-rank Signal Model","display_name":"A New Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-rank Signal Model","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2938737567","doi":"https://doi.org/10.1109/icassp.2019.8683645","mag":"2938737567"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5074751212","display_name":"Yongwei Huang","orcid":"https://orcid.org/0000-0002-7345-3524"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Huang","raw_affiliation_strings":["Guangdong Uni. of Technol, University Town, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Uni. of Technol, University Town, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055234860","display_name":"Sergiy A. Vorobyov","orcid":"https://orcid.org/0000-0001-7249-647X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sergiy A. Vorobyov","raw_affiliation_strings":["Aalto Uni, Konemiehentie, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto Uni, Konemiehentie, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101766226","display_name":"Zhi\u2010Quan Luo","orcid":"https://orcid.org/0000-0003-3995-914X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Quan Luo","raw_affiliation_strings":["The Chinese Uni. of Hong Kong (SZ) Longgang, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese Uni. of Hong Kong (SZ) Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"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":null,"issue":null,"first_page":"4335","last_page":"4339"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.5974881649017334},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5965346097946167},{"id":"https://openalex.org/keywords/semidefinite-programming","display_name":"Semidefinite programming","score":0.5959284901618958},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.593793511390686},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5866174101829529},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5419029593467712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5356471538543701},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5287525057792664},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48938649892807007},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.4605070948600769},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4249698221683502},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4235609471797943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3577769994735718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27919894456863403},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.15243053436279297}],"concepts":[{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.5974881649017334},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5965346097946167},{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.5959284901618958},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.593793511390686},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5866174101829529},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5419029593467712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5356471538543701},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5287525057792664},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48938649892807007},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4605070948600769},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4249698221683502},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4235609471797943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3577769994735718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27919894456863403},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.15243053436279297},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1503221585","https://openalex.org/W1568307856","https://openalex.org/W2014020284","https://openalex.org/W2044000385","https://openalex.org/W2082038839","https://openalex.org/W2128757878","https://openalex.org/W2129019112","https://openalex.org/W2143710958","https://openalex.org/W2145486800","https://openalex.org/W2150835235","https://openalex.org/W2163470941","https://openalex.org/W2475682732","https://openalex.org/W2963757653","https://openalex.org/W3147528989","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W1983756092","https://openalex.org/W2381295697","https://openalex.org/W2352839224","https://openalex.org/W2371590971","https://openalex.org/W2203098598","https://openalex.org/W1653317167","https://openalex.org/W2952690984","https://openalex.org/W1680211808","https://openalex.org/W2181320377","https://openalex.org/W2024017812"],"abstract_inverted_index":{"The":[0],"worst-case":[1],"robust":[2,46,63,137,184],"adaptive":[3,47,138],"beamforming":[4,48,64,139],"problem":[5,49,65,84,100,123,163],"for":[6,80,153,160],"generalrank":[7],"signal":[8],"model":[9],"is":[10,13,50,66,76,101,116,132,164],"considered.":[11],"This":[12],"a":[14,25,58,69,82,91,104,117,128,149],"nonconvex":[15],"problem,":[16],"and":[17,124],"an":[18,157],"approximate":[19,130],"version":[20],"of":[21,33,57,156,181,188],"it":[22],"(by":[23],"introducing":[24],"matrix":[26,32,71,93],"decomposition":[27],"on":[28],"the":[29,34,41,44,54,62,86,98,111,121,136,141,147,154,161,178,182,189],"presumed":[30],"covariance":[31],"desired":[35],"signal)":[36],"has":[37],"been":[38],"studied":[39],"in":[40,85,140,186],"literature.":[42,87],"Herein":[43],"original":[45],"tackled.":[51],"Resorting":[52],"to":[53,110,134],"strong":[55],"duality":[56],"linear":[59,92],"conic":[60],"program,":[61],"reformulated":[67],"into":[68,103],"quadratic":[70],"inequality":[72,94],"(QMI)":[73],"problem.":[74,108],"There":[75],"no":[77],"general":[78],"method":[79],"solving":[81],"QMI":[83,99,122,142,162],"Here-":[88],"in,":[89],"employing":[90],"(LMI)":[95],"relaxation":[96],"technique,":[97],"turned":[102],"convex":[105],"semidefinite":[106],"programming":[107],"Due":[109],"fact":[112],"that":[113],"there":[114],"often":[115],"positive":[118],"gap":[119],"between":[120],"its":[125],"LMI":[126],"relaxation,":[127],"deterministic":[129],"algorithm":[131],"proposed":[133],"solve":[135],"form.":[143],"Last":[144],"but":[145],"not":[146],"least,":[148],"sufficient":[150],"optimality":[151],"condition":[152],"existence":[155],"optimal":[158],"solution":[159],"derived.":[165],"To":[166],"validate":[167],"our":[168],"theoretical":[169],"results,":[170],"simulation":[171],"examples":[172],"are":[173],"presented,":[174],"which":[175],"also":[176],"demonstrate":[177],"improved":[179],"performance":[180],"new":[183],"beamformer":[185],"terms":[187],"output":[190],"signal-to-interference-":[191],"plus-noise":[192],"ratio.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}