{"id":"https://openalex.org/W2784117762","doi":"https://doi.org/10.1109/glocom.2017.8254249","title":"Robust Widely Linear Beamforming via a Shrinkage Method for Signal Steering Vector Estimation","display_name":"Robust Widely Linear Beamforming via a Shrinkage Method for Signal Steering Vector Estimation","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2784117762","doi":"https://doi.org/10.1109/glocom.2017.8254249","mag":"2784117762"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8254249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","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/A5101641358","display_name":"Jiangbo Liu","orcid":"https://orcid.org/0000-0001-5570-7853"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangbo Liu","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Gui","raw_affiliation_strings":["College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113751058","display_name":"Xueke Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueke Ding","raw_affiliation_strings":["Tongfang Electronic Science and Technology co., ltd, Jiujiang"],"affiliations":[{"raw_affiliation_string":"Tongfang Electronic Science and Technology co., ltd, Jiujiang","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030636785","display_name":"Guopei Li","orcid":"https://orcid.org/0000-0002-2546-9724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guopei Li","raw_affiliation_strings":["Tongfang Electronic Science and Technology co., ltd, Jiujiang"],"affiliations":[{"raw_affiliation_string":"Tongfang Electronic Science and Technology co., ltd, Jiujiang","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085388252","display_name":"Silong Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silong Tang","raw_affiliation_strings":["Tongfang Electronic Science and Technology co., ltd, Jiujiang"],"affiliations":[{"raw_affiliation_string":"Tongfang Electronic Science and Technology co., ltd, Jiujiang","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026335787","display_name":"Qun Wan","orcid":"https://orcid.org/0000-0002-6607-5422"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Wan","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101641358"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20402953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980999827384949,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9980999827384949,"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/beamforming","display_name":"Beamforming","score":0.793312132358551},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.6798571944236755},{"id":"https://openalex.org/keywords/second-order-cone-programming","display_name":"Second-order cone programming","score":0.6186476945877075},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6063109040260315},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5877028107643127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5860081315040588},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5782553553581238},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5237866640090942},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5232445597648621},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4650142788887024},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3434533476829529},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2786482572555542},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.23436814546585083},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20599976181983948},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0915987491607666}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.793312132358551},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.6798571944236755},{"id":"https://openalex.org/C111397411","wikidata":"https://www.wikidata.org/wiki/Q7442977","display_name":"Second-order cone programming","level":4,"score":0.6186476945877075},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6063109040260315},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5877028107643127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860081315040588},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5782553553581238},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5237866640090942},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5232445597648621},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4650142788887024},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3434533476829529},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2786482572555542},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.23436814546585083},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20599976181983948},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0915987491607666},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2017.8254249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","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/W1539840820","https://openalex.org/W2039148775","https://openalex.org/W2044000385","https://openalex.org/W2056348142","https://openalex.org/W2061727895","https://openalex.org/W2065296125","https://openalex.org/W2081230512","https://openalex.org/W2087484019","https://openalex.org/W2096380790","https://openalex.org/W2096710051","https://openalex.org/W2105271339","https://openalex.org/W2109017219","https://openalex.org/W2139996618","https://openalex.org/W2154842995","https://openalex.org/W2155496160","https://openalex.org/W2270931163","https://openalex.org/W2600087283","https://openalex.org/W2733907820"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2365713954","https://openalex.org/W3013496310","https://openalex.org/W2606661315","https://openalex.org/W2548445082"],"abstract_inverted_index":{"The":[0,80],"robust":[1,68,151],"adaptive":[2],"beamforming":[3,72,153],"(RAB)":[4],"problem":[5],"for":[6,37],"noncircular":[7,22],"signals":[8,23],"with":[9],"the":[10,28,39,43,49,91,95,110,116,120,125,130,138,145,149],"desired":[11,44,111,131],"signal's":[12,112],"steering":[13],"vector":[14],"(SV)":[15],"mismatch":[16],"is":[17,86,106,133],"considered.":[18],"As":[19],"we":[20,64],"know,":[21],"are":[24,46,135],"widely":[25,69],"used":[26],"in":[27,56,128,137],"satellite":[29],"communication":[30],"and":[31,124],"radio":[32],"communication.":[33],"Some":[34],"existing":[35,150],"approaches":[36],"estimating":[38],"extended":[40,113],"SV":[41],"of":[42,119],"signal":[45,132],"based":[47],"on":[48],"second-order":[50],"cone":[51],"programming":[52],"(SOCP),":[53],"which":[54,129],"results":[55],"a":[57,66,76,99],"high":[58],"computational":[59],"cost.":[60],"In":[61],"this":[62],"paper,":[63],"propose":[65],"novel":[67],"linear":[70],"(WL)":[71],"algorithm":[73,147],"by":[74,89],"using":[75,90],"low-complexity":[77],"shrinkage-based":[78],"approach.":[79],"augmented":[81],"interference-plus-noise":[82],"covariance":[83],"matrix":[84],"(IPNCM)":[85],"reconstructed":[87],"first":[88],"SVs":[92],"corresponding":[93],"to":[94,108],"interference":[96],"region.":[97],"Then,":[98],"modified":[100],"oracle":[101],"approximating":[102],"shrinkage":[103],"(OAS)":[104],"method":[105],"applied":[107],"estimate":[109],"SV.":[114],"Only":[115],"prior":[117],"knowledge":[118],"antenna":[121],"array":[122],"geometry":[123],"angular":[126],"sector":[127],"located":[134],"utilized":[136],"proposed":[139,146],"method.":[140],"Numerical":[141],"simulations":[142],"show":[143],"that":[144],"outperforms":[148],"WL":[152],"methods.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}