{"id":"https://openalex.org/W4389473939","doi":"https://doi.org/10.1109/tsp.2023.3340879","title":"Quasi-Closed-Form Algorithms for Spherical Angle-of-Arrival Source Localization","display_name":"Quasi-Closed-Form Algorithms for Spherical Angle-of-Arrival Source Localization","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389473939","doi":"https://doi.org/10.1109/tsp.2023.3340879"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3340879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3340879","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/A5100425859","display_name":"Tianyu Zhang","orcid":"https://orcid.org/0000-0002-8527-8356"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhang","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8527-8356","affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100903036","display_name":"Pengxiao Teng","orcid":"https://orcid.org/0000-0001-5227-0633"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengxiao Teng","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5227-0633","affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108999813","display_name":"Jun Lyu","orcid":"https://orcid.org/0000-0003-4797-725X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lyu","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4797-725X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381075","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0003-2807-6130"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2807-6130","affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4909,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64903748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"72","issue":null,"first_page":"432","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9951000213623047,"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/estimator","display_name":"Estimator","score":0.7773154973983765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7160070538520813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6237666010856628},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.6184560060501099},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5562072396278381},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5216496586799622},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4500473141670227},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3906424641609192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30983683466911316},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.302753746509552},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19831439852714539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07378494739532471}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7773154973983765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7160070538520813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6237666010856628},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.6184560060501099},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5562072396278381},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5216496586799622},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4500473141670227},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3906424641609192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30983683466911316},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.302753746509552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19831439852714539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07378494739532471},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3340879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3340879","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":[{"id":"https://openalex.org/G6586374534","display_name":null,"funder_award_id":"11874389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W432844638","https://openalex.org/W1630120088","https://openalex.org/W1932269109","https://openalex.org/W1987263538","https://openalex.org/W2002022952","https://openalex.org/W2004385997","https://openalex.org/W2005452565","https://openalex.org/W2008457674","https://openalex.org/W2009568893","https://openalex.org/W2013668165","https://openalex.org/W2016059313","https://openalex.org/W2033593649","https://openalex.org/W2049063033","https://openalex.org/W2061268824","https://openalex.org/W2065766632","https://openalex.org/W2077831870","https://openalex.org/W2092323252","https://openalex.org/W2104264645","https://openalex.org/W2108696877","https://openalex.org/W2120833567","https://openalex.org/W2140872360","https://openalex.org/W2146065462","https://openalex.org/W2149154415","https://openalex.org/W2154347068","https://openalex.org/W2158752141","https://openalex.org/W2158976021","https://openalex.org/W2175239228","https://openalex.org/W2193142622","https://openalex.org/W2590180565","https://openalex.org/W2751800313","https://openalex.org/W2802146744","https://openalex.org/W2803878161","https://openalex.org/W2805020273","https://openalex.org/W2806347133","https://openalex.org/W2890429580","https://openalex.org/W2946899202","https://openalex.org/W2946931672","https://openalex.org/W2964083363","https://openalex.org/W3011055704","https://openalex.org/W3015392660","https://openalex.org/W3033705886","https://openalex.org/W3120272220","https://openalex.org/W3207560222","https://openalex.org/W4206180546","https://openalex.org/W4229628595","https://openalex.org/W4250585244","https://openalex.org/W6685503544"],"related_works":["https://openalex.org/W1479746946","https://openalex.org/W2143803213","https://openalex.org/W2055757274","https://openalex.org/W2511739151","https://openalex.org/W2155014562","https://openalex.org/W2134404114","https://openalex.org/W2585557503","https://openalex.org/W1964936841","https://openalex.org/W2026659681","https://openalex.org/W2185708237"],"abstract_inverted_index":{"The":[0,45,81,107,145],"ground":[1],"curvature":[2],"cannot":[3],"be":[4],"neglected":[5],"when":[6,124],"locating":[7],"the":[8,16,34,48,52,59,62,73,91,95,98,112,119,126,132,138,153,166,177,199,203,215,220,223],"source":[9,20,26,154],"that":[10,51,111,162],"generates":[11],"long-range":[12],"propagation":[13],"signals,":[14],"so":[15],"traditional":[17,185],"angle-of-arrival":[18],"(AOA)":[19],"localization":[21],"evolves":[22],"into":[23],"spherical":[24,35,76,99],"AOA":[25],"localization.":[27],"For":[28],"this":[29,43],"problem,":[30],"a":[31],"quasi-closed-form":[32,150],"algorithm,":[33],"weighted":[36,77,100],"pseudolinear":[37,78],"estimator":[38,79,103,169],"(SWPLE),":[39],"is":[40,86,105,114,142],"proposed":[41,146,178],"in":[42,165],"paper.":[44],"analysis":[46,109],"of":[47,61,94,140,222],"SWPLE":[49],"reveals":[50],"algorithm":[53,67],"has":[54],"bias":[55,60,74,92,193,211],"problems.":[56],"To":[57],"mitigate":[58],"SWPLE,":[63,96],"we":[64],"propose":[65],"an":[66],"based":[68],"on":[69],"biased":[70],"term":[71],"estimation,":[72],"compensated":[75],"(BCSWPLE).":[80],"instrumental":[82,101],"variable":[83],"(IV)":[84],"method":[85],"further":[87],"introduced":[88],"to":[89,152],"solve":[90],"problem":[93],"and":[97,117,131,137,171],"variables":[102],"(SWIVE)":[104],"proposed.":[106],"theoretical":[108],"shows":[110],"SWIVE":[113,204],"asymptotically":[115],"unbiased":[116],"achieves":[118],"Cram\u00e9r\u2013Rao":[120],"lower":[121,181],"bound":[122],"(CRLB)":[123],"both":[125],"small":[127],"Gaussian":[128],"noise":[129],"assumption":[130],"first-order":[133],"approximation":[134],"are":[135,163,189],"satisfied":[136],"number":[139],"measurements":[141],"sufficiently":[143],"large.":[144],"algorithms":[147,179,195],"can":[148,158,196,205],"obtain":[149],"solutions":[151],"location.":[155],"Therefore,":[156],"they":[157],"avoid":[159],"convergence":[160],"problems":[161],"common":[164],"maximum":[167],"likelihood":[168],"(MLE)":[170],"achieve":[172,206],"more":[173],"robust":[174],"performance.":[175],"Moreover,":[176],"have":[180],"computational":[182],"complexities":[183],"than":[184],"algorithms.":[186],"When":[187],"there":[188],"sufficient":[190],"measurements,":[191],"two":[192],"mitigation":[194],"significantly":[197],"suppress":[198],"bias,":[200],"among":[201],"which":[202],"similar":[207],"or":[208],"even":[209],"better":[210],"performance":[212],"compared":[213],"with":[214],"MLEs.":[216],"Extensive":[217],"simulations":[218],"prove":[219],"proposals":[221],"study.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
