{"id":"https://openalex.org/W3197171903","doi":"https://doi.org/10.1109/jiot.2021.3108528","title":"Wideband Multitarget Tracking Based on Dynamic Bayesian Network Learning in an Acoustic Sensor Array Network","display_name":"Wideband Multitarget Tracking Based on Dynamic Bayesian Network Learning in an Acoustic Sensor Array Network","publication_year":2021,"publication_date":"2021-08-30","ids":{"openalex":"https://openalex.org/W3197171903","doi":"https://doi.org/10.1109/jiot.2021.3108528","mag":"3197171903"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3108528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3108528","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5041072463","display_name":"Wenqiong Zhang","orcid":"https://orcid.org/0000-0003-4398-9077"},"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":"Wenqiong Zhang","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4398-9077","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"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/A5056943877","display_name":"Jianfei Tong","orcid":"https://orcid.org/0000-0002-3270-4411"},"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":"Jianfei Tong","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"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/A5047588665","display_name":"Ming Bao","orcid":"https://orcid.org/0000-0001-8486-2377"},"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":"Ming Bao","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8486-2377","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/A5100363146","display_name":"Xiao\u2013Ping Zhang","orcid":"https://orcid.org/0000-0001-5241-0069"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5241-0069","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711527","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0002-4170-0076"},"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":"Xiaodong Li","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4170-0076","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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9265,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74606681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":"6","first_page":"4769","last_page":"4787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7356777787208557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5594012141227722},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4883089065551758},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4537988603115082},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.44851449131965637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32751792669296265},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2722465395927429},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17177435755729675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10638761520385742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356777787208557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5594012141227722},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4883089065551758},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4537988603115082},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.44851449131965637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32751792669296265},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2722465395927429},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17177435755729675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10638761520385742}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2021.3108528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3108528","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2866636858","display_name":"\u9e21\u5c3e\u9152\u4f1a\u6548\u5e94\u4e2d\u591a\u7ef4\u5ea6\u7279\u5f81\u7684\u6ce8\u610f\u9009\u62e9\u53ca\u5176\u8ba4\u77e5\u5efa\u6a21","funder_award_id":"11774379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7790877511","display_name":null,"funder_award_id":"RGPIN-2020-04661","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W10100052","https://openalex.org/W34992941","https://openalex.org/W195465510","https://openalex.org/W250076511","https://openalex.org/W653761051","https://openalex.org/W1506558619","https://openalex.org/W1531532259","https://openalex.org/W1560524796","https://openalex.org/W1567930608","https://openalex.org/W1621501894","https://openalex.org/W1842963400","https://openalex.org/W1848594422","https://openalex.org/W1872902815","https://openalex.org/W1881770166","https://openalex.org/W1974000248","https://openalex.org/W1985690171","https://openalex.org/W1999890569","https://openalex.org/W2014787937","https://openalex.org/W2030840616","https://openalex.org/W2033572733","https://openalex.org/W2058130919","https://openalex.org/W2092323252","https://openalex.org/W2096189825","https://openalex.org/W2097177383","https://openalex.org/W2100039303","https://openalex.org/W2103519107","https://openalex.org/W2115979064","https://openalex.org/W2118603200","https://openalex.org/W2122512809","https://openalex.org/W2123487311","https://openalex.org/W2126885789","https://openalex.org/W2127923214","https://openalex.org/W2128917116","https://openalex.org/W2131090450","https://openalex.org/W2133503769","https://openalex.org/W2137813581","https://openalex.org/W2141118638","https://openalex.org/W2150440166","https://openalex.org/W2155680787","https://openalex.org/W2160783189","https://openalex.org/W2161880830","https://openalex.org/W2163994287","https://openalex.org/W2167582467","https://openalex.org/W2167773605","https://openalex.org/W2168470473","https://openalex.org/W2168688492","https://openalex.org/W2169415915","https://openalex.org/W2210162573","https://openalex.org/W2327701832","https://openalex.org/W2511568459","https://openalex.org/W2522615148","https://openalex.org/W2746773662","https://openalex.org/W2747591687","https://openalex.org/W2766401293","https://openalex.org/W2782436561","https://openalex.org/W2786027963","https://openalex.org/W2786070790","https://openalex.org/W2787003052","https://openalex.org/W2790894931","https://openalex.org/W2878329596","https://openalex.org/W2892374861","https://openalex.org/W2905269226","https://openalex.org/W2905423878","https://openalex.org/W2914090143","https://openalex.org/W2963386712","https://openalex.org/W2964293148","https://openalex.org/W2972245760","https://openalex.org/W2979653692","https://openalex.org/W2981587265","https://openalex.org/W3000003260","https://openalex.org/W3026389829","https://openalex.org/W3033311084","https://openalex.org/W3187867541","https://openalex.org/W4233765278","https://openalex.org/W4253879575","https://openalex.org/W6607884611","https://openalex.org/W6677308353","https://openalex.org/W6682098810"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W1964038743","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270"],"abstract_inverted_index":{"The":[0,104,219],"multitarget":[1],"tracking":[2],"(MTT)":[3],"based":[4,77,191,231],"on":[5,78,151,192,232],"distributed":[6],"fusion":[7],"methods":[8],"in":[9,50,236],"an":[10,89],"acoustic":[11,102,111],"sensor":[12,142],"array":[13],"network":[14,82],"(ASAN)":[15],"is":[16,176,200],"limited":[17],"by":[18,66,123],"the":[19,27,33,46,57,79,86,96,100,107,110,115,127,137,141,153,164,169,173,209,225,233,248,251],"performance":[20],"of":[21,35,59,140,155,172,238,250],"measurement":[22,39],"parameter":[23],"estimators,":[24],"such":[25],"as":[26,88,146],"received":[28],"signal":[29],"strength":[30],"(RSS)":[31],"and":[32,44,93,114,136,214,241],"direction":[34],"arrival":[36],"(DOA).":[37],"For":[38],"parameters":[40,139],"with":[41,196],"low":[42],"accuracy":[43],"resolution,":[45],"MTT":[47,75],"may":[48],"fail":[49],"subsequent":[51],"steps,":[52],"e.g.,":[53],"data":[54,205],"association,":[55],"because":[56],"loss":[58],"upstream":[60],"information":[61],"cannot":[62],"be":[63,121,159],"made":[64],"up":[65],"downstream":[67],"processing.":[68],"Thus,":[69],"we":[70],"propose":[71],"a":[72,179,188],"new":[73],"wideband":[74],"algorithm":[76,190,227],"dynamic":[80],"Bayesian":[81],"(DBN),":[83],"which":[84],"treats":[85],"ASAN":[87],"overall":[90],"extended":[91],"array,":[92],"directly":[94],"estimates":[95],"target":[97,134],"states":[98],"from":[99],"raw":[101],"data.":[103],"DBN":[105],"fuses":[106],"near-field":[108,234],"model,":[109],"propagation":[112],"model.":[113,117],"motion":[116],"These":[118],"submodels":[119],"can":[120,158],"optimized":[122],"each":[124,132,156],"other,":[125],"improving":[126],"final":[128],"estimation.":[129],"Also,":[130],"for":[131,185],"subband,":[133],"signals":[135],"precision":[138],"noise":[143],"are":[144,217],"treated":[145],"hidden":[147,166],"random":[148],"variables.":[149,167],"Based":[150],"this,":[152],"weight":[154],"subband":[157],"automatically":[160],"adjusted":[161],"according":[162],"to":[163],"accurate":[165],"Besides,":[168],"optimization":[170],"problem":[171],"posterior":[174],"probability":[175],"transformed":[177],"into":[178],"graphical":[180],"model":[181,235],"learning":[182],"problem.":[183],"Moreover,":[184],"nonconjugate":[186],"models,":[187],"novel":[189],"Laplace":[193],"approximations":[194],"(LAs)":[195],"Newton\u2019s":[197],"method":[198],"(NM)":[199],"developed,":[201],"i.e.,":[202],"DBN-LA-NM,":[203],"bypassing":[204],"association.":[206],"In":[207],"addition,":[208],"corresponding":[210],"Cramer\u2013Rao":[211],"lower":[212],"bound":[213],"convergence":[215],"conditions":[216],"derived.":[218],"numerical":[220],"simulation":[221],"results":[222],"show":[223],"that":[224],"proposed":[226,252],"outperforms":[228],"existing":[229],"MTTs":[230],"terms":[237],"accuracy,":[239],"convergence,":[240],"computational":[242],"complexity.":[243],"Field":[244],"experiments":[245],"further":[246],"verify":[247],"feasibility":[249],"algorithm.":[253]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}