{"id":"https://openalex.org/W2404145708","doi":"https://doi.org/10.1109/icassp.2016.7472242","title":"Direction-of-arrival estimation based on Toeplitz covariance matrix reconstruction","display_name":"Direction-of-arrival estimation based on Toeplitz covariance matrix reconstruction","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2404145708","doi":"https://doi.org/10.1109/icassp.2016.7472242","mag":"2404145708"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5062793011","display_name":"Xiaohuan Wu","orcid":"https://orcid.org/0000-0003-3190-6115"},"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":true,"raw_author_name":"Xiaohuan Wu","raw_affiliation_strings":["Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033247734","display_name":"Wei\u2010Ping Zhu","orcid":null},"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"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Wei-Ping Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101781340","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0001-7113-0249"},"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":"Jun Yan","raw_affiliation_strings":["Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062793011"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":5.71466525,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.97153946,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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":1.0,"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":1.0,"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":0.9991999864578247,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.814542829990387},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7580652236938477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6610639691352844},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5324576497077942},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5281909704208374},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.5165223479270935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5147383213043213},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.511690616607666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5023329257965088},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4897944927215576},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4390419125556946},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32528817653656006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16277679800987244},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13592559099197388},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09178239107131958},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.07361644506454468}],"concepts":[{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.814542829990387},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7580652236938477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6610639691352844},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5324576497077942},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5281909704208374},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.5165223479270935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147383213043213},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.511690616607666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5023329257965088},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4897944927215576},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4390419125556946},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32528817653656006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16277679800987244},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13592559099197388},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09178239107131958},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.07361644506454468},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/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/icassp.2016.7472242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1814500939","https://openalex.org/W1831233010","https://openalex.org/W1973726294","https://openalex.org/W2000030677","https://openalex.org/W2009850603","https://openalex.org/W2016506370","https://openalex.org/W2021046826","https://openalex.org/W2064771273","https://openalex.org/W2103519107","https://openalex.org/W2118693125","https://openalex.org/W2125779688","https://openalex.org/W2130342534","https://openalex.org/W2149551443","https://openalex.org/W2149755721","https://openalex.org/W2167077875","https://openalex.org/W3106271742","https://openalex.org/W3124617746","https://openalex.org/W4388534025"],"related_works":["https://openalex.org/W3135147038","https://openalex.org/W2002899408","https://openalex.org/W2095642928","https://openalex.org/W2048445851","https://openalex.org/W2165941627","https://openalex.org/W2100915163","https://openalex.org/W4372349225","https://openalex.org/W3097312342","https://openalex.org/W4317464957","https://openalex.org/W4372260012"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,14,18,23,30,36,40,44,50,59,81,90,98,104,111,117,126,135],"issue":[4],"of":[5,17,26,39,83,92,97,137],"direction-of-arrival":[6],"(DOA)":[7],"estimation":[8],"with":[9,55],"an":[10],"objective":[11],"to":[12,57,103,125,133],"eliminate":[13],"off-grid":[15,127],"effect":[16],"sparsity-based":[19,105],"methods":[20],"and":[21,47,73,120],"enlarge":[22],"maximum":[24],"number":[25,91],"distinguishable":[27],"signals":[28,85],"in":[29,43,110],"subspace-based":[31],"methods.":[32],"We":[33],"first":[34],"reconstruct":[35],"covariance":[37,52,63],"matrix":[38,53,64],"array":[41,99],"output":[42],"Toeplitz":[45],"structure":[46],"then":[48],"employ":[49],"reconstructed":[51],"together":[54],"root-MUSIC":[56],"estimate":[58,80],"DOAs.":[60],"The":[61],"proposed":[62],"reconstruction":[65],"approach":[66],"(CMRA)":[67],"can":[68,78],"be":[69],"used":[70],"for":[71],"uniform":[72],"sparse":[74],"linear":[75],"arrays.":[76],"It":[77],"also":[79],"DOAs":[82],"multiple":[84],"that":[86],"are":[87,130],"larger":[88],"than":[89,116],"sensors":[93],"by":[94],"taking":[95],"advantage":[96],"geometry.":[100],"In":[101],"contrast":[102],"methods,":[106],"CMRA":[107],"is":[108,123],"formulated":[109],"continuous":[112],"angle":[113],"space":[114],"rather":[115],"discretized":[118],"one,":[119],"hence":[121],"it":[122],"immune":[124],"effect.":[128],"Simulations":[129],"carried":[131],"out":[132],"verify":[134],"effectiveness":[136],"our":[138],"method.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
