{"id":"https://openalex.org/W2616555170","doi":"https://doi.org/10.1109/tvt.2017.2704610","title":"A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming","display_name":"A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming","publication_year":2017,"publication_date":"2017-05-16","ids":{"openalex":"https://openalex.org/W2616555170","doi":"https://doi.org/10.1109/tvt.2017.2704610","mag":"2616555170"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2017.2704610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2704610","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","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/A5087125783","display_name":"Chengwei Zhou","orcid":"https://orcid.org/0000-0002-9437-2379"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Zhou","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015909551","display_name":"Yujie Gu","orcid":"https://orcid.org/0000-0003-1312-1605"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujie Gu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068195118","display_name":"Shibo He","orcid":"https://orcid.org/0000-0002-1505-6766"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo He","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-1505-6766","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041940889","display_name":"Zhiguo Shi","orcid":"https://orcid.org/0000-0001-9160-048X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Shi","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9160-048X","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":39.7515,"has_fulltext":false,"cited_by_count":383,"citation_normalized_percentile":{"value":0.99910245,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"67","issue":"2","first_page":"1099","last_page":"1112"},"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":0.9975000023841858,"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":0.9961000084877014,"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/coprime-integers","display_name":"Coprime integers","score":0.8758643865585327},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.6826582551002502},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6553665995597839},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6337823867797852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6087744235992432},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5878758430480957},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5449019074440002},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4324696958065033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42840856313705444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.422486275434494},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3846766948699951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09833210706710815},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08838945627212524}],"concepts":[{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.8758643865585327},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.6826582551002502},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6553665995597839},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6337823867797852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6087744235992432},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5878758430480957},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5449019074440002},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4324696958065033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42840856313705444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.422486275434494},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3846766948699951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09833210706710815},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08838945627212524},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2017.2704610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2704610","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4722259913","display_name":null,"funder_award_id":"2017QNA5009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6076887803","display_name":null,"funder_award_id":"U1401253","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1575224478","https://openalex.org/W1832853932","https://openalex.org/W1971846076","https://openalex.org/W1975233118","https://openalex.org/W1999476053","https://openalex.org/W2013438974","https://openalex.org/W2037095848","https://openalex.org/W2066218102","https://openalex.org/W2077602393","https://openalex.org/W2079779935","https://openalex.org/W2082202206","https://openalex.org/W2085910483","https://openalex.org/W2092042417","https://openalex.org/W2093225945","https://openalex.org/W2103049885","https://openalex.org/W2103483656","https://openalex.org/W2103519107","https://openalex.org/W2106616990","https://openalex.org/W2113168978","https://openalex.org/W2113638573","https://openalex.org/W2136172079","https://openalex.org/W2149551443","https://openalex.org/W2164390589","https://openalex.org/W2164440118","https://openalex.org/W2286274660","https://openalex.org/W2319951883","https://openalex.org/W2344848012","https://openalex.org/W2345331569","https://openalex.org/W2399993625","https://openalex.org/W2404145708","https://openalex.org/W2404413604","https://openalex.org/W2475682732","https://openalex.org/W2559445141","https://openalex.org/W2559897227","https://openalex.org/W2604272566","https://openalex.org/W2625990440","https://openalex.org/W2768493796","https://openalex.org/W2963984872","https://openalex.org/W6672226811","https://openalex.org/W6673641310"],"related_works":["https://openalex.org/W3013496310","https://openalex.org/W4225264158","https://openalex.org/W2849843506","https://openalex.org/W2761218246","https://openalex.org/W4317795331","https://openalex.org/W3205335469","https://openalex.org/W2760841258","https://openalex.org/W2606284533","https://openalex.org/W2019022680","https://openalex.org/W2242301815"],"abstract_inverted_index":{"Coprime":[0],"array":[1,5,10,48,69,87,190],"offers":[2],"a":[3,20,66,89,134],"larger":[4],"aperture":[6],"than":[7],"uniform":[8,93,130],"linear":[9,94,131],"with":[11,24],"the":[12,34,39,46,58,85,104,109,121,126,144,160,166,184,187],"same":[13],"number":[14],"of":[15,27,36,53,91,106,125,128,146,176,186],"physical":[16],"sensors,":[17],"and":[18,76,96,152,164,178,180],"has":[19],"better":[21],"spatial":[22,123],"resolution":[23],"increased":[25],"degrees":[26],"freedom.":[28],"However,":[29],"when":[30],"it":[31],"comes":[32],"to":[33,103,142,158],"problem":[35,139],"adaptive":[37,41,70,191],"beamforming,":[38],"existing":[40],"beamforming":[42,71,192],"algorithms":[43],"designed":[44],"for":[45,116],"general":[47],"cannot":[49],"take":[50],"full":[51],"advantage":[52],"coprime":[54,59,68,86,107,189],"feature":[55],"offered":[56],"by":[57,119],"array.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,82],"propose":[65],"novel":[67],"algorithm,":[72],"where":[73],"both":[74],"robustness":[75,177],"efficiency":[77],"are":[78,156,172],"well":[79],"balanced.":[80],"Specifically,":[81],"first":[83],"decompose":[84],"into":[88],"pair":[90,127],"sparse":[92,129],"subarrays":[95],"process":[97],"their":[98,153],"received":[99],"signals":[100],"separately.":[101],"According":[102],"property":[105],"integers,":[108],"direction-of-arrival":[110],"(DOA)":[111],"can":[112],"be":[113],"uniquely":[114],"estimated":[115,150],"each":[117,147],"source":[118],"matching":[120],"super-resolution":[122],"spectra":[124],"subarrays.":[132],"Further,":[133],"joint":[135],"covariance":[136,162],"matrix":[137,163],"optimization":[138],"is":[140],"formulated":[141],"estimate":[143,165],"power":[145,155],"source.":[148],"The":[149],"DOAs":[151],"corresponding":[154],"utilized":[157],"reconstruct":[159],"interference-plus-noise":[161],"signal":[167],"steering":[168],"vector.":[169],"Theoretical":[170],"analyses":[171],"presented":[173],"in":[174],"terms":[175],"efficiency,":[179],"simulation":[181],"results":[182],"demonstrate":[183],"effectiveness":[185],"proposed":[188],"algorithm.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":36},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":74},{"year":2019,"cited_by_count":87},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":13}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
