{"id":"https://openalex.org/W3171372595","doi":"https://doi.org/10.1109/lsp.2021.3084520","title":"The ORLS-Based DoA Estimation for Unknown Mixtures of Uncorrelated and Coherent Signals Under Unknown Number of Sources","display_name":"The ORLS-Based DoA Estimation for Unknown Mixtures of Uncorrelated and Coherent Signals Under Unknown Number of Sources","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3171372595","doi":"https://doi.org/10.1109/lsp.2021.3084520","mag":"3171372595"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3084520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3084520","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/A5001550599","display_name":"Guijin Yao","orcid":"https://orcid.org/0000-0002-2782-5657"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guijin Yao","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101978998","display_name":"Hairong Zhang","orcid":"https://orcid.org/0009-0005-4028-5885"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairong Zhang","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656224","display_name":"Ling Li","orcid":"https://orcid.org/0000-0002-7420-5100"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015682839","display_name":"Fengye Hu","orcid":"https://orcid.org/0000-0002-5694-4057"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengye Hu","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001550599"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":1.0665,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76490872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":null,"first_page":"1105","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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":0.9973999857902527,"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/uncorrelated","display_name":"Uncorrelated","score":0.5830387473106384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5499066710472107},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5094502568244934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5061330199241638},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5021390914916992},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4656530022621155},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4538912773132324},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4493381381034851},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.4409356415271759},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4394074082374573},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4175683259963989},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41419801115989685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34193092584609985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24696248769760132},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1976396143436432}],"concepts":[{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.5830387473106384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5499066710472107},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5094502568244934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5061330199241638},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5021390914916992},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4656530022621155},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4538912773132324},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4493381381034851},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.4409356415271759},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4394074082374573},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4175683259963989},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41419801115989685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34193092584609985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24696248769760132},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1976396143436432},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3084520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3084520","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/G6360524358","display_name":null,"funder_award_id":"61671219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8387054818","display_name":null,"funder_award_id":"20190302073GX","funder_id":"https://openalex.org/F4320335953","funder_display_name":"Jilin Scientific and Technological Development Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335953","display_name":"Jilin Scientific and Technological Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W250076511","https://openalex.org/W296863324","https://openalex.org/W1965392255","https://openalex.org/W1994739323","https://openalex.org/W2099421358","https://openalex.org/W2107960143","https://openalex.org/W2112939953","https://openalex.org/W2121075458","https://openalex.org/W2320998982","https://openalex.org/W2323325980","https://openalex.org/W3094474007","https://openalex.org/W3109459688"],"related_works":["https://openalex.org/W2356908423","https://openalex.org/W2383442806","https://openalex.org/W2765271896","https://openalex.org/W1783708174","https://openalex.org/W2392852470","https://openalex.org/W2072972610","https://openalex.org/W1977937121","https://openalex.org/W2076605754","https://openalex.org/W94653146","https://openalex.org/W2513407551"],"abstract_inverted_index":{"In":[0,27],"this":[1],"letter,":[2],"the":[3,12,17,21,28,31,41,65,68,77,85,89,99,109,123,129,132,147,170,173,181],"order":[4,63],"recursive":[5],"least":[6],"squares":[7],"(ORLS)":[8],"is":[9,106,117,139,188],"applied":[10],"to":[11,15,54,108,121,158],"azimuth-only":[13],"ULA":[14],"probe":[16],"DoA":[18],"estimation":[19,156],"under":[20],"unknown":[22,133],"number":[23,70,110,124,174],"of":[24,48,58,64,71,88,111,125,131,141,169,172,178,186],"external":[25],"sources.":[26,112],"ORLS-based":[29],"method,":[30],"iterative":[32],"measured":[33],"matrix":[34,164],"equations":[35,50],"are":[36,52,74],"feasibly":[37],"constructed":[38],"by":[39],"combining":[40],"two":[42],"spatial":[43],"modified":[44],"Yule-Walker":[45],"(MYW)":[46],"systems":[47],"linear":[49],"and":[51,67,83,143,146,151,163,175,184],"required":[53],"remain":[55],"Hankel-block-matrix":[56],"structure":[57],"augmented":[59],"matrices":[60],"after":[61],"arrangement":[62],"unknowns":[66],"maximum":[69],"detectable":[72],"sources":[73,179],"preset.":[75],"Under":[76],"stationary":[78],"assumption":[79],"on":[80],"source":[81],"signals":[82,145],"noises,":[84],"remarkable":[86],"advantage":[87],"proposed":[90,137],"method":[91,138],"lies":[92],"in":[93,155],"that":[94],"it":[95],"can":[96],"theoretically":[97],"provide":[98],"zero":[100,114],"LS":[101,115],"error":[102,116],"as":[103],"iteration":[104],"times":[105],"equal":[107],"The":[113,136,167],"an":[118],"evident":[119],"mark":[120],"judge":[122],"sources,":[126],"especially":[127],"for":[128],"scenario":[130],"noise":[134],"variances.":[135],"free":[140],"uncorrelated":[142],"coherent":[144],"corresponding":[148],"various":[149],"mixtures":[150],"remains":[152],"computationally":[153],"efficient":[154],"owing":[157],"no":[159],"eigenvalue":[160],"decomposition":[161],"(EVD)":[162],"inversion":[165],"operation.":[166],"effectiveness":[168],"determination":[171],"azimuth":[176],"angles":[177],"versus":[180],"different":[182],"SNRs":[183],"numbers":[185],"snapshots":[187],"numerically":[189],"confirmed.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}