{"id":"https://openalex.org/W2768493796","doi":"https://doi.org/10.1109/vtcspring.2017.8108559","title":"Toeplitz Matrix Reconstruction of Interpolated Coprime Virtual Array for DOA Estimation","display_name":"Toeplitz Matrix Reconstruction of Interpolated Coprime Virtual Array for DOA Estimation","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2768493796","doi":"https://doi.org/10.1109/vtcspring.2017.8108559","mag":"2768493796"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2017.8108559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","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/A5103922981","display_name":"Xing Fan","orcid":"https://orcid.org/0009-0003-6350-5057"},"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":"Xing Fan","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/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":"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":["Zhejiang University, Hangzhou, Zhejiang, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9991000294685364,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.8689254522323608},{"id":"https://openalex.org/keywords/coprime-integers","display_name":"Coprime integers","score":0.8184177875518799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6010368466377258},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5418776273727417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188518762588501},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.501091718673706},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.44584643840789795},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42874813079833984},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4167403280735016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37946438789367676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16886606812477112}],"concepts":[{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.8689254522323608},{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.8184177875518799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6010368466377258},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5418776273727417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188518762588501},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.501091718673706},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.44584643840789795},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42874813079833984},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4167403280735016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37946438789367676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16886606812477112},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2017.8108559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1541064563","https://openalex.org/W1575224478","https://openalex.org/W1964521756","https://openalex.org/W1971846076","https://openalex.org/W2077602393","https://openalex.org/W2085910483","https://openalex.org/W2092042417","https://openalex.org/W2113638573","https://openalex.org/W2149551443","https://openalex.org/W2164390589","https://openalex.org/W2191948661","https://openalex.org/W2319951883","https://openalex.org/W2399993625","https://openalex.org/W2404145708","https://openalex.org/W2404413604","https://openalex.org/W2482419788","https://openalex.org/W2516947732","https://openalex.org/W2559897227","https://openalex.org/W2601885139","https://openalex.org/W2604272566","https://openalex.org/W2625990440","https://openalex.org/W6672226811","https://openalex.org/W6673641310"],"related_works":["https://openalex.org/W2106423710","https://openalex.org/W2002899408","https://openalex.org/W2914088837","https://openalex.org/W2364833235","https://openalex.org/W2377831056","https://openalex.org/W1976945290","https://openalex.org/W2082046903","https://openalex.org/W2098054412","https://openalex.org/W2012107603","https://openalex.org/W2981512286"],"abstract_inverted_index":{"A":[0],"coprime":[1,32,46,88,101,127],"array":[2,48,72,90,103,129],"enables":[3],"an":[4],"increased":[5],"number":[6],"of":[7,26,71,99,119,124,139],"degrees-of-freedom":[8],"by":[9,30,55,64,114],"deriving":[10],"a":[11,44,76,107],"non-uniform":[12,100],"virtual":[13,47,79,89,102,128],"array.":[14],"However,":[15],"existing":[16],"work":[17],"such":[18,81],"as":[19],"spatial":[20],"smoothing":[21],"fails":[22],"to":[23,74,96],"utilize":[24],"all":[25],"the":[27,31,61,65,69,83,87,97,116,120,125,131,137,140],"information":[28,84],"provided":[29],"array,":[33,80],"which":[34],"results":[35,135],"in":[36,86],"performance":[37],"loss.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,67,105],"propose":[43],"novel":[45],"interpolation-based":[49],"direction-":[50],"of-arrival":[51],"(DOA)":[52],"estimation":[53,113],"algorithm":[54],"Toeplitz":[56,132],"matrix":[57,118],"reconstruction.":[58],"After":[59],"investigating":[60],"challenges":[62],"caused":[63],"non-uniformity,":[66],"introduce":[68],"idea":[70],"interpolation":[73],"construct":[75],"uniform":[77],"linear":[78],"that":[82],"contained":[85],"can":[91],"be":[92],"fully":[93],"utilized.":[94],"According":[95],"statistics":[98],"signal,":[104],"formulate":[106],"convex":[108],"optimization":[109],"problem":[110],"for":[111],"DOA":[112],"reconstructing":[115],"covariance":[117],"equivalent":[121],"received":[122],"signals":[123],"interpolated":[126],"under":[130],"constraint.":[133],"Simulation":[134],"demonstrate":[136],"effectiveness":[138],"proposed":[141],"algorithm.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}