{"id":"https://openalex.org/W4315606122","doi":"https://doi.org/10.1109/tsp.2023.3236158","title":"Resolvable Group Target Tracking via Multi-Bernoulli Filter and Its Application to Sensor Control Scenario","display_name":"Resolvable Group Target Tracking via Multi-Bernoulli Filter and Its Application to Sensor Control Scenario","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4315606122","doi":"https://doi.org/10.1109/tsp.2023.3236158"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3236158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3236158","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/A5069239821","display_name":"Guchong Li","orcid":"https://orcid.org/0000-0002-9182-1968"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guchong Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9182-1968","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438655","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9755-2781"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9755-2781","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016380250","display_name":"You He","orcid":"https://orcid.org/0000-0002-2942-1699"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You He","raw_affiliation_strings":["Institute of Information Fusion, Naval Aviation University, Yantai, China","Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2942-1699","affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":[]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1631,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94743016,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"6286","last_page":"6299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9125000238418579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6615433096885681},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6453373432159424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48876333236694336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3611631989479065},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.169939786195755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1657228171825409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1134292483329773}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6615433096885681},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6453373432159424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48876333236694336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3611631989479065},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.169939786195755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1657228171825409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1134292483329773}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3236158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3236158","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/G2856687768","display_name":null,"funder_award_id":"62201316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6291740483","display_name":null,"funder_award_id":"2022M711872","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7040462901","display_name":null,"funder_award_id":"62293544","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8111680298","display_name":null,"funder_award_id":"62022092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8362816022","display_name":null,"funder_award_id":"61925106","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W652333456","https://openalex.org/W1424291775","https://openalex.org/W1568122762","https://openalex.org/W1909771825","https://openalex.org/W1974801345","https://openalex.org/W1977234023","https://openalex.org/W2010152966","https://openalex.org/W2014787937","https://openalex.org/W2018275473","https://openalex.org/W2049244691","https://openalex.org/W2055406046","https://openalex.org/W2059305573","https://openalex.org/W2079754900","https://openalex.org/W2084551895","https://openalex.org/W2093378709","https://openalex.org/W2099191469","https://openalex.org/W2105905583","https://openalex.org/W2110354007","https://openalex.org/W2123378338","https://openalex.org/W2123651102","https://openalex.org/W2126885789","https://openalex.org/W2132673546","https://openalex.org/W2137585588","https://openalex.org/W2145482857","https://openalex.org/W2154353836","https://openalex.org/W2729012890","https://openalex.org/W2729442131","https://openalex.org/W2761734841","https://openalex.org/W2780032379","https://openalex.org/W2890105358","https://openalex.org/W2903616121","https://openalex.org/W2915256504","https://openalex.org/W2921843713","https://openalex.org/W2963139408","https://openalex.org/W2977779880","https://openalex.org/W3016162056","https://openalex.org/W3125509641","https://openalex.org/W3126728068","https://openalex.org/W3162363345","https://openalex.org/W3187867541","https://openalex.org/W4205597599","https://openalex.org/W4211127940","https://openalex.org/W4236703713","https://openalex.org/W4237241179","https://openalex.org/W4238187298","https://openalex.org/W6635208941","https://openalex.org/W6639644361","https://openalex.org/W6702730623","https://openalex.org/W6725618389"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,14,19,32,41,55,60,72,76,82,87,91,101,109,113,133,145,152,157,167,172,187],"problem":[6],"of":[7,16,25,35,59,75,90,105,164,171],"resolvable":[8],"group":[9,42,106],"target":[10],"tracking":[11,33],"(RGTT)":[12],"and":[13,103,169,176],"application":[15,178],"RGTT":[17],"in":[18,108,186],"sensor":[20,110,122,141,180],"control":[21,111,125,142,181],"scenarios.":[22],"The":[23],"aim":[24],"our":[26],"approach":[27],"is":[28,52,68,97,117,137,149,183],"to":[29,70,155,179],"further":[30],"improve":[31],"performance":[34,170],"multi-Bernoulli":[36],"(MB)":[37],"filter":[38,96,116,136,175],"by":[39],"exploiting":[40],"structure":[43,107],"information.":[44],"Firstly,":[45],"a":[46,120,140],"single-target":[47,61],"state":[48,62],"transition":[49],"function":[50,154],"(SSTF)":[51],"derived":[53],"from":[54],"direct":[56],"integral":[57],"solution":[58],"stochastic":[63],"differential":[64],"equation":[65],"(SDE),":[66],"which":[67],"used":[69],"revise":[71],"prediction":[73,88],"process":[74,89],"standard":[77],"MB":[78,94],"filter.":[79],"Then,":[80],"combing":[81],"Gaussian":[83],"mixture":[84],"(GM)":[85],"implementation,":[86],"proposed":[92,114,134,173],"SSTF-based":[93],"(SSTF-MB)":[95],"detailed.":[98],"Next,":[99],"considering":[100],"benefits":[102],"importance":[104],"scenarios,":[112],"SSTF-MB":[115,135,174],"applied":[118],"into":[119,139],"mobile":[121],"platform":[123],"whose":[124],"actions":[126],"(e.g.,":[127],"motion":[128],"direction)":[129],"are":[130],"uncertain.":[131],"Specifically,":[132],"merged":[138],"strategy":[143],"where":[144],"Cauchy-Schwarz":[146],"(CS)":[147],"divergence":[148],"selected":[150],"as":[151],"objective":[153],"compute":[156],"discrepancy":[158],"between":[159],"two":[160],"first-order":[161],"moment":[162],"approximations":[163],"MBs.":[165],"Finally,":[166],"efficiency":[168],"its":[177],"scenario":[182],"well":[184],"demonstrated":[185],"simulation":[188],"experiments.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
