{"id":"https://openalex.org/W2106343541","doi":"https://doi.org/10.1109/tsp.2011.2157499","title":"DOA Estimation of Temporally and Spatially Correlated Narrowband Noncircular Sources in Spatially Correlated White Noise","display_name":"DOA Estimation of Temporally and Spatially Correlated Narrowband Noncircular Sources in Spatially Correlated White Noise","publication_year":2011,"publication_date":"2011-05-27","ids":{"openalex":"https://openalex.org/W2106343541","doi":"https://doi.org/10.1109/tsp.2011.2157499","mag":"2106343541"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2157499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2157499","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5065385887","display_name":"Sonia Ben Hassen","orcid":"https://orcid.org/0000-0003-4997-9398"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sonia Ben Hassen","raw_affiliation_strings":["INRS-EMT, Montreal, QC, Canada","INRS-EMT, Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Montreal, QC, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"INRS-EMT, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003619912","display_name":"Faouzi Bellili","orcid":"https://orcid.org/0000-0001-6630-6561"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Faouzi Bellili","raw_affiliation_strings":["INRS-EMT, Montreal, QC, Canada","INRS-EMT, Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Montreal, QC, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"INRS-EMT, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111719944","display_name":"Abdelaziz Samet","orcid":"https://orcid.org/0000-0002-5917-6962"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdelaziz Samet","raw_affiliation_strings":["INRS-EMT, Montreal, QC, Canada","INRS-EMT, Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Montreal, QC, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"INRS-EMT, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076850812","display_name":"Sofi\u00e8ne Affes","orcid":"https://orcid.org/0000-0002-1729-3503"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sofi\u00e8ne Affes","raw_affiliation_strings":["INRS-EMT, Montreal, QC, Canada","INRS-EMT, Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, Montreal, QC, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"INRS-EMT, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065385887"],"corresponding_institution_ids":["https://openalex.org/I39481719"],"apc_list":null,"apc_paid":null,"fwci":2.4943,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89901365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"9","first_page":"4108","last_page":"4121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9957000017166138,"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/narrowband","display_name":"Narrowband","score":0.7550306916236877},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5645908713340759},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5452888011932373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4976992905139923},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49755409359931946},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.48882028460502625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4882779121398926},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4719083905220032},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4308319687843323},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41942986845970154},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41040316224098206},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4057027995586395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37046289443969727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3463294804096222},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2146623134613037},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1547718048095703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12992945313453674}],"concepts":[{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.7550306916236877},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5645908713340759},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5452888011932373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4976992905139923},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49755409359931946},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.48882028460502625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4882779121398926},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4719083905220032},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4308319687843323},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41942986845970154},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41040316224098206},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4057027995586395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37046289443969727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3463294804096222},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2146623134613037},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1547718048095703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12992945313453674},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2011.2157499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2157499","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1491758811","https://openalex.org/W1514558801","https://openalex.org/W1613238992","https://openalex.org/W2087543940","https://openalex.org/W2101658087","https://openalex.org/W2103970904","https://openalex.org/W2116414176","https://openalex.org/W2128131274","https://openalex.org/W2129553513","https://openalex.org/W2131826810","https://openalex.org/W2133523758","https://openalex.org/W2143110984","https://openalex.org/W2147855704","https://openalex.org/W2149755721","https://openalex.org/W2151517138","https://openalex.org/W2156782020","https://openalex.org/W2158541895","https://openalex.org/W2159530033","https://openalex.org/W2163645146","https://openalex.org/W2169030472"],"related_works":["https://openalex.org/W2164801693","https://openalex.org/W2120266201","https://openalex.org/W2585557503","https://openalex.org/W2169354510","https://openalex.org/W2355570321","https://openalex.org/W4389474210","https://openalex.org/W1967296369","https://openalex.org/W2952836236","https://openalex.org/W4299934179","https://openalex.org/W2107840717"],"abstract_inverted_index":{"The":[0,126],"main":[1],"contribution":[2],"of":[3,15,19,39,55,82,112,133,167,202],"our":[4,67],"work":[5],"consists":[6],"in":[7,53,79],"developing":[8],"for":[9,106],"the":[10,17,40,75,80,90,93,107,113,147,161,173,192,195,200,206,211,234,241,252,255,260],"first":[11],"time":[12],"a":[13,36],"method":[14,69,77],"estimating":[16],"direction":[18],"arrival":[20],"(DOA)":[21],"parameters":[22,237],"assuming":[23,150,244],"noncircular":[24,124,138,152,245],"and":[25,27,58,84,92,118,137,140,154,179,215,246,259],"temporally":[26,117,135,155,247],"spatially":[28,119],"correlated":[29,120,136,156,248],"signals.":[30],"This":[31,171],"new":[32,68,127],"approach,":[33],"based":[34],"on":[35,251],"significant":[37],"enhancement":[38],"two-sided":[41,95],"instrumental":[42],"variable":[43],"signal":[44],"subspace":[45],"fitting":[46],"(IV-SSF)":[47],"method,":[48],"outperforms":[49],"its":[50],"classical":[51,94],"version":[52],"terms":[54],"lower":[56,159],"bias":[57],"error":[59],"variance.":[60],"Moreover,":[61,218],"it":[62,223],"will":[63,187,224],"be":[64,189,225],"shown":[65,226],"that":[66,146,176,191,227],"is":[70,129,158,230],"statistically":[71],"more":[72,231],"efficient":[73],"than":[74,160,238],"MODE":[76],"especially":[78],"case":[81],"partly":[83],"fully":[85],"coherent":[86],"signals":[87,121,143,157,249],"where":[88],"only":[89,165],"extended":[91],"IV-SSF":[96],"methods":[97],"are":[98],"applicable.":[99],"We":[100],"also":[101,188],"derive":[102],"an":[103],"explicit":[104],"expression":[105],"stochastic":[108],"Cram\u00e9r-Rao":[109],"bound":[110],"(CRB)":[111],"DOA":[114,236,261],"estimates":[115],"from":[116,123],"generated":[122],"sources.":[125],"CRB":[128,148,242],"compared":[130],"to":[131,144],"those":[132],"circular":[134],"independent":[139],"identically":[141],"distributed":[142],"show":[145],"obtained":[149],"both":[151,177],"sources":[153],"CRBs":[162,197,212],"derived":[163,243],"considering":[164],"one":[166],"these":[168],"two":[169],"assumptions.":[170],"illustrates":[172],"potential":[174],"gain":[175],"noncircularity":[178,253],"temporal":[180,228],"correlation":[181,229],"provide":[182],"when":[183],"considered":[184],"together.":[185],"It":[186],"proven":[190],"difference":[193],"between":[194],"three":[196],"increases":[198],"with":[199],"number":[201],"snapshots.":[203],"However,":[204],"as":[205],"signal-to-noise":[207],"ratio":[208],"(SNR)":[209],"increases,":[210],"merge":[213],"together":[214],"decrease":[216],"linearly.":[217],"at":[219],"low":[220],"SNR":[221],"values":[222],"informative":[232],"about":[233],"unknown":[235],"noncircularity.":[239],"Finally,":[240],"depends":[250],"rate,":[254],"circularity":[256],"phase":[257],"separation,":[258],"separation.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
