{"id":"https://openalex.org/W2305569075","doi":"https://doi.org/10.1109/lsp.2016.2541688","title":"Reduced-Rank DOA Estimation Algorithms Based on Alternating Low-Rank Decomposition","display_name":"Reduced-Rank DOA Estimation Algorithms Based on Alternating Low-Rank Decomposition","publication_year":2016,"publication_date":"2016-03-14","ids":{"openalex":"https://openalex.org/W2305569075","doi":"https://doi.org/10.1109/lsp.2016.2541688","mag":"2305569075"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2541688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2541688","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5064254459","display_name":"Linzheng Qiu","orcid":null},"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":"Linzheng Qiu","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034376590","display_name":"Yunlong Cai","orcid":"https://orcid.org/0000-0001-9418-1700"},"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":"Yunlong Cai","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049028312","display_name":"Rodrigo C. de Lamare","orcid":"https://orcid.org/0000-0003-2322-6451"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]},{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["BR","GB"],"is_corresponding":false,"raw_author_name":"Rodrigo C. de Lamare","raw_affiliation_strings":["CETUC, PUC-Rio Rua Marques de Sao Vicente, Rio de Janeiro, Brazil","University of York, Heslington, York, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETUC, PUC-Rio Rua Marques de Sao Vicente, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]},{"raw_affiliation_string":"University of York, Heslington, York, U.K","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071265062","display_name":"Minjian Zhao","orcid":"https://orcid.org/0000-0002-3020-2434"},"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":"Minjian Zhao","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2522,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9775308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"565","last_page":"569"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.742018461227417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6999368667602539},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5603527426719666},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5354649424552917},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4957774579524994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49571001529693604},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46439865231513977},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.46034741401672363},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.44157516956329346},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4240334630012512},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4182436466217041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3386301100254059},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.14695867896080017},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1289845108985901},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12823835015296936},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.07031711935997009}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.742018461227417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6999368667602539},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5603527426719666},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5354649424552917},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4957774579524994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49571001529693604},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46439865231513977},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.46034741401672363},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.44157516956329346},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4240334630012512},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4182436466217041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3386301100254059},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.14695867896080017},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1289845108985901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12823835015296936},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.07031711935997009},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2541688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2541688","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8436842407","display_name":"\u5927\u89c4\u6a21MIMO\u7cfb\u7edf\u4e2d\u4fe1\u53f7\u5904\u7406\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61471319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G993808345","display_name":null,"funder_award_id":"LY14F010013","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"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},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1492221128","https://openalex.org/W1966440305","https://openalex.org/W1994477821","https://openalex.org/W2011768471","https://openalex.org/W2032468904","https://openalex.org/W2052296575","https://openalex.org/W2066218102","https://openalex.org/W2075216062","https://openalex.org/W2109958193","https://openalex.org/W2113638573","https://openalex.org/W2122046351","https://openalex.org/W2124306988","https://openalex.org/W2126023613","https://openalex.org/W2128131274","https://openalex.org/W2130693290","https://openalex.org/W2142937021","https://openalex.org/W2162654459","https://openalex.org/W2798909945","https://openalex.org/W2952350176","https://openalex.org/W2979864212"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W2130386332","https://openalex.org/W1120847856","https://openalex.org/W2063495065"],"abstract_inverted_index":{"In":[0,19],"this":[1],"work,":[2],"we":[3],"propose":[4],"an":[5],"alternating":[6],"low-rank":[7,37],"decomposition":[8,24],"(ALRD)":[9],"approach":[10],"and":[11,62,73,86],"novel":[12],"subspace":[13],"algorithms":[14,95],"for":[15,26,79],"direction-of-arrival":[16],"(DOA)":[17],"estimation.":[18],"the":[20,23,46,70,74,93],"ALRD":[21],"scheme,":[22],"matrix":[25],"rank":[27],"reduction":[28],"consists":[29],"of":[30,33],"a":[31],"set":[32],"basis":[34,71],"vectors.":[35],"A":[36],"auxiliary":[38,75],"parameter":[39,76],"vector":[40],"is":[41],"then":[42],"employed":[43],"to":[44,68,98],"compute":[45,69],"output":[47],"power":[48],"spectrum.":[49],"Alternating":[50],"optimization":[51],"strategies":[52],"based":[53],"on":[54],"recursive":[55],"least":[56],"squares":[57],"(RLS),":[58],"denoted":[59],"as":[60],"ALRD-RLS":[61,64],"modified":[63],"(MARLD-RLS),":[65],"are":[66,89,96],"devised":[67],"vectors":[72],"vector.":[77],"Simulations":[78],"large":[80],"sensor":[81],"arrays":[82],"with":[83],"both":[84],"uncorrelated":[85],"correlated":[87],"sources":[88],"presented,":[90],"showing":[91],"that":[92],"proposed":[94],"superior":[97],"existing":[99],"techniques.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
