{"id":"https://openalex.org/W3011026626","doi":"https://doi.org/10.1109/camsap45676.2019.9022501","title":"Worst-Case SINR Maximization Based Robust Adaptive Beamforming Problem with a Nonconvex Uncertainty Set","display_name":"Worst-Case SINR Maximization Based Robust Adaptive Beamforming Problem with a Nonconvex Uncertainty Set","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011026626","doi":"https://doi.org/10.1109/camsap45676.2019.9022501","mag":"3011026626"},"language":"en","primary_location":{"id":"doi:10.1109/camsap45676.2019.9022501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th 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/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":true,"raw_author_name":"Yongwei Huang","raw_affiliation_strings":["Guangdong Uni. of Technol. University Town, Guangzhou, China"],"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/A5043581737","display_name":"Hao Fu","orcid":"https://orcid.org/0000-0002-7278-4508"},"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":"Hao Fu","raw_affiliation_strings":["Guangdong Uni. of Technol. University Town, Guangzhou, China"],"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"],"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"],"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":4,"corresponding_author_ids":["https://openalex.org/A5074751212"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.3317,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59396097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9975000023841858,"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/maximization","display_name":"Maximization","score":0.6581439971923828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.625796377658844},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6217084527015686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5949475169181824},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.5665488243103027},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5230206847190857},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5214599967002869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25572794675827026},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06256848573684692}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6581439971923828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625796377658844},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6217084527015686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5949475169181824},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5665488243103027},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5230206847190857},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5214599967002869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25572794675827026},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06256848573684692},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap45676.2019.9022501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1503221585","https://openalex.org/W1568307856","https://openalex.org/W1829525054","https://openalex.org/W2014020284","https://openalex.org/W2044000385","https://openalex.org/W2093229781","https://openalex.org/W2111937449","https://openalex.org/W2113168978","https://openalex.org/W2122744491","https://openalex.org/W2128757878","https://openalex.org/W2145486800","https://openalex.org/W2154354807","https://openalex.org/W2166117654","https://openalex.org/W2168200870","https://openalex.org/W2475682732","https://openalex.org/W2939649356","https://openalex.org/W2950636122","https://openalex.org/W6638655679"],"related_works":["https://openalex.org/W1978564766","https://openalex.org/W2371305098","https://openalex.org/W2888017238","https://openalex.org/W2154469289","https://openalex.org/W646378086","https://openalex.org/W2364359354","https://openalex.org/W2044458072","https://openalex.org/W2150180135","https://openalex.org/W4226108498","https://openalex.org/W4293057975"],"abstract_inverted_index":{"The":[0,25,39],"optimal":[1],"robust":[2,154],"adaptive":[3],"beamforming":[4,91],"problem":[5,43,52,70,103,121,131],"based":[6],"on":[7],"worst-case":[8,40,134],"signal-to-noise-plus-interference":[9],"ratio":[10],"(SINR)":[11],"maximization":[12,42,136],"with":[13],"a":[14,30,34,47,105],"nonconvex":[15],"uncertainty":[16,26],"set":[17,27],"of":[18,29,57,87,151,158],"the":[19,54,61,68,83,88,100,119,128,133,148,152,159],"desired":[20],"steering":[21],"vectors":[22],"is":[23,44,71,74,104],"considered.":[24],"consists":[28],"similarity":[31],"constraint":[32],"and":[33,73,146],"(nonconvex)":[35],"double-sided":[36],"ball":[37],"constraint.":[38],"SINR":[41,135],"turned":[45],"into":[46],"quadratic":[48],"matrix":[49,63,92,107],"inequality":[50,64,108],"(QMI)":[51],"using":[53],"strong":[55],"duality":[56],"semidefinite":[58,90],"programs.":[59],"Then":[60],"linear":[62],"(LMI)":[65],"relaxation":[66,110],"for":[67,82,127,132],"QMI":[69,130],"formulated,":[72],"further":[75],"restricted":[76,101],"by":[77],"adding":[78],"an":[79,114,124],"equivalent":[80],"representation":[81],"second":[84],"largest":[85],"eigenvalue":[86],"positive":[89],"to":[93,117],"be":[94],"nonnegative.":[95],"It":[96],"turns":[97],"out":[98],"that":[99,122],"LMI":[102],"bilinear":[106],"(BLMI)":[109],"problem.":[111,137],"We":[112],"propose":[113],"iterative":[115],"algorithm":[116],"solve":[118],"BLMI":[120],"finds":[123],"optimal/suboptimal":[125],"solution":[126],"original":[129],"To":[138],"validate":[139],"our":[140],"results,":[141],"simulation":[142],"examples":[143],"are":[144],"presented":[145],"demonstrate":[147],"improved":[149],"performance":[150],"proposed":[153],"beamformer":[155],"in":[156],"terms":[157],"array":[160],"output":[161],"SINR.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}