{"id":"https://openalex.org/W4403510611","doi":"https://doi.org/10.1109/taes.2024.3482287","title":"Max-Sum-Based Data Associations for Tracking Point and Extended Targets","display_name":"Max-Sum-Based Data Associations for Tracking Point and Extended Targets","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403510611","doi":"https://doi.org/10.1109/taes.2024.3482287"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3482287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3482287","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5100895321","display_name":"Weizhen Ma","orcid":"https://orcid.org/0000-0002-0507-3810"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhen Ma","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0507-3810","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032543777","display_name":"Zhongliang Jing","orcid":"https://orcid.org/0000-0003-1759-8785"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliang Jing","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1759-8785","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064709823","display_name":"Peng Dong","orcid":"https://orcid.org/0000-0001-7199-1583"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Dong","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7199-1583","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061884304","display_name":"Henry Leung","orcid":"https://orcid.org/0000-0002-5984-107X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Henry Leung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5984-107X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2815,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5141734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"61","issue":"2","first_page":"3059","last_page":"3075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.8105999827384949,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.8105999827384949,"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/T11106","display_name":"Data Management and Algorithms","score":0.698199987411499,"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/radar-tracker","display_name":"Radar tracker","score":0.620266318321228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4948503375053406},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48388752341270447},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47066983580589294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3782937824726105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24853187799453735},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2077595293521881},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17378154397010803}],"concepts":[{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.620266318321228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4948503375053406},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48388752341270447},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47066983580589294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3782937824726105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24853187799453735},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2077595293521881},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17378154397010803},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2024.3482287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3482287","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2417834588","display_name":null,"funder_award_id":"61673262","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1709455389","https://openalex.org/W1959279866","https://openalex.org/W1966447678","https://openalex.org/W1974801345","https://openalex.org/W1983289383","https://openalex.org/W2018275473","https://openalex.org/W2040104067","https://openalex.org/W2081122035","https://openalex.org/W2098387242","https://openalex.org/W2106873007","https://openalex.org/W2108619558","https://openalex.org/W2110012495","https://openalex.org/W2110354007","https://openalex.org/W2118388220","https://openalex.org/W2127021804","https://openalex.org/W2127923214","https://openalex.org/W2131538180","https://openalex.org/W2135764410","https://openalex.org/W2137585588","https://openalex.org/W2137813581","https://openalex.org/W2144598923","https://openalex.org/W2150440166","https://openalex.org/W2154353836","https://openalex.org/W2157316965","https://openalex.org/W2164918853","https://openalex.org/W2170987079","https://openalex.org/W2296664252","https://openalex.org/W2511568459","https://openalex.org/W2595600061","https://openalex.org/W2744977985","https://openalex.org/W2786070790","https://openalex.org/W2945747947","https://openalex.org/W2948034885","https://openalex.org/W2973169463","https://openalex.org/W2992865406","https://openalex.org/W3013404017","https://openalex.org/W3015192869","https://openalex.org/W3027388300","https://openalex.org/W3187867541","https://openalex.org/W3210977953","https://openalex.org/W4212863985","https://openalex.org/W4384916595","https://openalex.org/W4386869696","https://openalex.org/W6677919857"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2105035414","https://openalex.org/W2553357593","https://openalex.org/W337130175","https://openalex.org/W2380612839","https://openalex.org/W1567854708","https://openalex.org/W2394397806","https://openalex.org/W2653893021","https://openalex.org/W4235384131"],"abstract_inverted_index":{"For":[0],"multitarget":[1,105,148],"tracking":[2,25,106,149,179],"applications,":[3],"data":[4],"association":[5],"is":[6,62],"a":[7,52],"fundamental":[8],"problem":[9],"of":[10,36,59,120],"assigning":[11],"measurements":[12],"to":[13,48,104,134],"their":[14],"corresponding":[15],"targets.":[16,89],"In":[17],"this":[18],"article,":[19],"we":[20],"propose":[21],"two":[22,127],"algorithms":[23,100,128,139,156],"for":[24,78,87],"point":[26,79],"and":[27,81,118,140,164,168],"extended":[28,88],"targets,":[29],"respectively,":[30],"based":[31],"on":[32,94],"factor":[33,114],"graph":[34],"representations":[35],"the":[37,44,50,57,65,71,95,98,109,113,121,135,153,159,165,173],"joint":[38],"probability":[39],"density":[40],"functions.":[41],"Both":[42],"employ":[43],"max-sum":[45],"(MS)":[46],"algorithm":[47],"find":[49],"maximum":[51],"posteriori":[53],"assignment":[54],"such":[55],"that":[56,172],"state":[58],"each":[60],"target":[61,73,96],"updated":[63],"with":[64,158],"most":[66],"probable":[67],"measurement(s).":[68],"We":[69,151],"model":[70],"single":[72],"densities":[74],"as":[75],"Gaussian":[76,83,92],"distribution":[77,86],"targets":[80,122],"gamma":[82],"inverse":[84],"Wishart":[85],"Under":[90],"linear":[91],"assumptions":[93],"models,":[97],"proposed":[99,154],"provide":[101],"analytical":[102],"solutions":[103],"problems.":[107],"Specifically,":[108],"messages":[110],"flowed":[111],"in":[112],"graphs,":[115],"existence":[116],"probabilities":[117],"states":[119],"are":[123],"analytically":[124],"calculated.":[125],"These":[126],"have":[129,175],"reduced":[130],"computational":[131],"load":[132],"compared":[133],"particle-based":[136],"sum-product":[137],"(SP)":[138],"avoid":[141],"gating":[142],"or":[143,177],"clustering":[144],"used":[145],"by":[146],"traditional":[147],"methods.":[150],"compare":[152],"MS-based":[155],"(MSAs)":[157],"Poisson":[160],"multi-Bernoulli":[161],"mixture":[162],"filters":[163],"SP-based":[166],"algorithms,":[167],"simulation":[169],"results":[170],"show":[171],"MSAs":[174],"comparable":[176],"improved":[178],"performance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}