{"id":"https://openalex.org/W3124595694","doi":"https://doi.org/10.1631/fitee.2000105","title":"Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems","display_name":"Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3124595694","doi":"https://doi.org/10.1631/fitee.2000105","mag":"3124595694"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.2000105","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.2000105","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","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/A5004578375","display_name":"Weihua Wu","orcid":"https://orcid.org/0000-0002-8737-3525"},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weihua Wu","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998965","display_name":"Yichao Cai","orcid":"https://orcid.org/0009-0000-2239-1637"},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yichao Cai","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102252924","display_name":"Hongbin Jin","orcid":"https://orcid.org/0009-0001-0368-9304"},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Jin","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030571462","display_name":"Mao Zheng","orcid":"https://orcid.org/0000-0002-5533-2024"},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mao Zheng","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100955078","display_name":"Xun Feng","orcid":"https://orcid.org/0009-0009-8956-7372"},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Feng","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019755266","display_name":"Zewen Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156192","display_name":"Early Warning (United States)","ror":"https://ror.org/055mrxn09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zewen Guan","raw_affiliation_strings":["Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210156192"]},{"raw_affiliation_string":"Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004578375"],"corresponding_institution_ids":["https://openalex.org/I4210156192"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70980494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"22","issue":"1","first_page":"79","last_page":"87"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.916100025177002,"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/bernoullis-principle","display_name":"Bernoulli's principle","score":0.785020112991333},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6108550429344177},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.5856212377548218},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5668059587478638},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5515393018722534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5059513449668884},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49592575430870056},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4878566265106201},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4283130168914795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39708077907562256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33579376339912415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20993053913116455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10502919554710388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08198150992393494},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07801708579063416}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.785020112991333},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6108550429344177},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.5856212377548218},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5668059587478638},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5515393018722534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059513449668884},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49592575430870056},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4878566265106201},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4283130168914795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39708077907562256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33579376339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20993053913116455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10502919554710388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08198150992393494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07801708579063416},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.2000105","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.2000105","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W652333456","https://openalex.org/W1745301770","https://openalex.org/W1909771825","https://openalex.org/W1983079154","https://openalex.org/W1984985028","https://openalex.org/W2048974653","https://openalex.org/W2049244691","https://openalex.org/W2095925246","https://openalex.org/W2097183228","https://openalex.org/W2102494399","https://openalex.org/W2103632679","https://openalex.org/W2106873007","https://openalex.org/W2110354007","https://openalex.org/W2118754959","https://openalex.org/W2123185183","https://openalex.org/W2127923214","https://openalex.org/W2137585588","https://openalex.org/W2145689384","https://openalex.org/W2154353836","https://openalex.org/W2161244654","https://openalex.org/W2165030081","https://openalex.org/W2298794335","https://openalex.org/W2490352051","https://openalex.org/W2513940684","https://openalex.org/W2586975548","https://openalex.org/W2773692223","https://openalex.org/W2963272312","https://openalex.org/W3019175418","https://openalex.org/W6607990940","https://openalex.org/W6633456037","https://openalex.org/W6679320804"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W1619264321","https://openalex.org/W2899588557","https://openalex.org/W2378097670","https://openalex.org/W2249919526","https://openalex.org/W2038954347","https://openalex.org/W2791968570","https://openalex.org/W2215635302","https://openalex.org/W1570633076","https://openalex.org/W3011535717"],"abstract_inverted_index":{"In":[0,65],"this":[1,77],"study,":[2],"we":[3,48,68],"extend":[4],"traditional":[5],"(single-target)":[6],"hybrid":[7,11,63],"systems":[8,12],"to":[9,76],"multi-target":[10,62],"with":[13],"a":[14,25,28,34,42,74],"focus":[15],"on":[16],"the":[17,55,70,80],"multi-maneuvering-target":[18],"tracking":[19],"system.":[20],"This":[21],"system":[22],"consists":[23],"of":[24,73],"continuous":[26],"state,":[27,32],"discrete":[29],"and":[30,33,37,58],"switchable":[31],"discrete,":[35],"time-constant,":[36],"unique":[38],"state.":[39],"By":[40],"defining":[41],"new":[43],"generalized":[44,82],"labeled":[45,83],"multi-Bernoulli":[46,84],"density,":[47],"prove":[49],"that":[50],"it":[51],"is":[52],"closed":[53],"under":[54],"Chapman-Kolmogorov":[56],"prediction":[57],"Bayes":[59],"update":[60],"for":[61],"systems.":[64],"other":[66],"words,":[67],"provide":[69],"exact":[71],"derivation":[72],"solution":[75],"system,":[78],"i.e.,":[79],"multi-model":[81],"filter,":[85],"which":[86],"has":[87],"been":[88],"developed":[89],"without":[90],"strict":[91],"proof.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}