{"id":"https://openalex.org/W3046111006","doi":"https://doi.org/10.1109/taes.2020.3011870","title":"Recursive Extended Instrumental Variable Based LCMV Beamformers for Planar Radial Coprime Arrays Under Spatially Colored Noise","display_name":"Recursive Extended Instrumental Variable Based LCMV Beamformers for Planar Radial Coprime Arrays Under Spatially Colored Noise","publication_year":2020,"publication_date":"2020-07-27","ids":{"openalex":"https://openalex.org/W3046111006","doi":"https://doi.org/10.1109/taes.2020.3011870","mag":"3046111006"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2020.3011870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.3011870","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5084053130","display_name":"Jianqiang Lin","orcid":"https://orcid.org/0000-0002-2192-7855"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jian-Qiang Lin","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2192-7855","affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shing-Chow Chan","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7212-4182","affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.1485,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.42066272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"57","issue":"1","first_page":"175","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9984999895095825,"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":0.9980000257492065,"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":0.8367640972137451},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6157171130180359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.578366756439209},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.49554336071014404},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.48727190494537354},{"id":"https://openalex.org/keywords/planar-array","display_name":"Planar array","score":0.4849384129047394},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43352213501930237},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.4111422896385193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39512255787849426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36551064252853394},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18986380100250244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12477004528045654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11627393960952759}],"concepts":[{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.8367640972137451},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6157171130180359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.578366756439209},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.49554336071014404},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.48727190494537354},{"id":"https://openalex.org/C2775980084","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Planar array","level":2,"score":0.4849384129047394},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43352213501930237},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4111422896385193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39512255787849426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36551064252853394},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18986380100250244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12477004528045654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11627393960952759},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2020.3011870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2020.3011870","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W90623281","https://openalex.org/W1506558619","https://openalex.org/W1971846076","https://openalex.org/W1981044874","https://openalex.org/W1999542175","https://openalex.org/W2003157621","https://openalex.org/W2004765229","https://openalex.org/W2007240904","https://openalex.org/W2014294275","https://openalex.org/W2018008909","https://openalex.org/W2027673565","https://openalex.org/W2036685768","https://openalex.org/W2052019609","https://openalex.org/W2052655378","https://openalex.org/W2055815425","https://openalex.org/W2063373218","https://openalex.org/W2066218102","https://openalex.org/W2068889862","https://openalex.org/W2073819516","https://openalex.org/W2089542834","https://openalex.org/W2092433837","https://openalex.org/W2101477681","https://openalex.org/W2106068728","https://openalex.org/W2113493827","https://openalex.org/W2121415284","https://openalex.org/W2121484391","https://openalex.org/W2133143996","https://openalex.org/W2144244295","https://openalex.org/W2149128077","https://openalex.org/W2155112232","https://openalex.org/W2158631449","https://openalex.org/W2158941010","https://openalex.org/W2167589082","https://openalex.org/W2169707468","https://openalex.org/W2169994608","https://openalex.org/W2320827350","https://openalex.org/W2475682732","https://openalex.org/W2584042328","https://openalex.org/W2742426150","https://openalex.org/W2742835528","https://openalex.org/W2799982433","https://openalex.org/W2892433162","https://openalex.org/W2896309482","https://openalex.org/W2952350176","https://openalex.org/W2967131402","https://openalex.org/W2973190484","https://openalex.org/W3125150276","https://openalex.org/W3147528989","https://openalex.org/W4233878821","https://openalex.org/W4298871068","https://openalex.org/W6635603408"],"related_works":["https://openalex.org/W2980627860","https://openalex.org/W2587747120","https://openalex.org/W2947241117","https://openalex.org/W2795830996","https://openalex.org/W3092300911","https://openalex.org/W3013671269","https://openalex.org/W3009511039","https://openalex.org/W4220804790","https://openalex.org/W2875660545","https://openalex.org/W2382377735"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,105,115],"new":[4],"recursive":[5,32,81,165],"linearly":[6],"constrained":[7],"minimum":[8],"variance":[9],"(LCMV)":[10],"beamformer":[11,34,65,83,168],"based":[12,84,174],"on":[13,85],"the":[14,60,63,69,86,98,135,152,163,170,178,191,196,212],"extended":[15],"instrumental":[16],"variable":[17],"(EIV)":[18],"method":[19],"for":[20],"planar":[21,108],"radial":[22],"coprime":[23,119,128],"arrays":[24,109,120,194],"(PRCAs)":[25],"under":[26,184],"spatially":[27],"colored":[28],"noise.":[29],"The":[30,127,187],"proposed":[31,64,164],"LCMV":[33,82,167,175],"is":[35,131],"able":[36],"to":[37,52,92,133,139],"deal":[38],"with":[39,42,73,195,207],"multiple":[40],"constraints":[41],"high":[43],"precision":[44],"and":[45,48,142,146,157,180],"low":[46],"complexity":[47,156],"can":[49,66,204],"be":[50,205],"applicable":[51],"various":[53,124,185],"array":[54,129,136,155],"geometrical":[55],"configurations.":[56],"Taking":[57],"advantage":[58],"of":[59,107,114,117,182,199,214],"EIV":[61,89],"vector,":[62],"effectively":[67],"combat":[68],"additive":[70],"color":[71],"noise":[72,75],"unknown":[74],"covariance":[76],"matrix.":[77],"We":[78],"develop":[79],"our":[80],"square-root":[87],"(SR)":[88],"algorithm":[90],"due":[91],"its":[93],"improved":[94],"numerical":[95],"stability":[96],"than":[97],"conventional":[99,171],"EIV-based":[100],"algorithms.":[101],"Furthermore,":[102],"we":[103],"studied":[104],"class":[106],"called":[110],"PRCAs,":[111],"which":[112],"consists":[113],"set":[116],"linear":[118,209],"arranged":[121],"radially":[122],"at":[123,211],"azimuth":[125],"angles.":[126],"property":[130],"utilized":[132],"enlarge":[134],"aperture":[137],"leading":[138],"higher":[140],"resolution":[141,179],"stronger":[143],"interference":[144],"rejection":[145],"it":[147],"offers":[148],"additional":[149],"flexibility":[150],"in":[151,177],"tradeoffs":[153],"between":[154],"performance.":[158],"Simulation":[159],"results":[160],"demonstrate":[161],"that":[162],"SREIV-based":[166],"outperforms":[169],"QR":[172],"decomposition":[173],"beamformers":[176],"suppression":[181],"interferences":[183],"scenarios.":[186],"PRCAs":[188],"tested":[189],"outperform":[190],"uniform":[192],"rectangular":[193],"same":[197],"number":[198],"elements.":[200],"Moreover,":[201],"better":[202],"performance":[203],"achieved":[206],"more":[208],"subarrays":[210],"expense":[213],"increased":[215],"complexity.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}