{"id":"https://openalex.org/W1982968777","doi":"https://doi.org/10.1109/siu.2012.6204754","title":"Single scan multi-target tracking using joint state particle filters","display_name":"Single scan multi-target tracking using joint state particle filters","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W1982968777","doi":"https://doi.org/10.1109/siu.2012.6204754","mag":"1982968777"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2012.6204754","doi":"https://doi.org/10.1109/siu.2012.6204754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204754","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5021647414","display_name":"Murat Samil Aslan","orcid":"https://orcid.org/0000-0002-7459-3035","observed_orcids":["https://orcid.org/0000-0002-7459-3035"]},"institutions":[{"id":"https://openalex.org/I4210153572","display_name":"Saab (Sweden)","ror":"https://ror.org/05kyy7d06","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210153572"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Murat Samil Aslan","raw_affiliation_strings":["Saab AB, Jarfalla, Sweden","Saab AB, J\u00e4rf\u00e4lla, SE-175 88, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saab AB, Jarfalla, Sweden","institution_ids":["https://openalex.org/I4210153572"]},{"raw_affiliation_string":"Saab AB, J\u00e4rf\u00e4lla, SE-175 88, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021647414"],"corresponding_institution_ids":["https://openalex.org/I4210153572"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08659871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"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":1.0,"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":1.0,"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/T11325","display_name":"Inertial Sensor and Navigation","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/multi-object-tracking","display_name":"multi-target tracking","score":0.9559999704360962},{"id":"https://openalex.org/keywords/closely-spaced-targets","display_name":"closely spaced targets","score":0.8619999885559082},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"maximum a posteriori estimation","score":0.9810000061988831},{"id":"https://openalex.org/keywords/minimum-mean-square-error-estimation","display_name":"minimum mean square error estimation","score":0.984000027179718},{"id":"https://openalex.org/keywords/kalman-filter-comparison","display_name":"Kalman filter comparison","score":0.8790000081062317},{"id":"https://openalex.org/keywords/estimation-performance","display_name":"estimation performance","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8579758405685425},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7725145816802979},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7407795190811157},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7245609164237976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065990328788757},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5990811586380005},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5655236840248108},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5393855571746826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5352794528007507},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.49065080285072327},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.48523497581481934},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4693276286125183},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.4309956431388855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39795762300491333},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.36826658248901367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.292836993932724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1578715741634369},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1476862132549286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12769117951393127},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2012.6204754","doi":"https://doi.org/10.1109/siu.2012.6204754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204754","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1989945545","https://openalex.org/W2014787937","https://openalex.org/W2015563078","https://openalex.org/W2076932885","https://openalex.org/W2083643725","https://openalex.org/W2098613108","https://openalex.org/W2100103229","https://openalex.org/W2103892029","https://openalex.org/W2105934661","https://openalex.org/W2126736494","https://openalex.org/W2127923214","https://openalex.org/W2137688837","https://openalex.org/W2150440166","https://openalex.org/W2152669093","https://openalex.org/W2155680787","https://openalex.org/W2160337655","https://openalex.org/W2167582467","https://openalex.org/W2168688492","https://openalex.org/W2492752217","https://openalex.org/W2535464458","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2170297611","https://openalex.org/W2147919769","https://openalex.org/W7098809054","https://openalex.org/W1875586243","https://openalex.org/W2030978671","https://openalex.org/W3147530432","https://openalex.org/W1974828076","https://openalex.org/W1992781095","https://openalex.org/W2100665902","https://openalex.org/W183768762"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"compare":[4],"some":[5],"of":[6,33,43,61,77],"the":[7],"existing":[8],"joint":[9,81],"state":[10,46,69,82],"particle":[11,47,70],"filtering":[12,71],"algorithms":[13,36],"for":[14,52],"closely":[15],"spaced":[16],"target":[17],"tracking":[18],"problem.":[19],"Both":[20],"maximum":[21],"a":[22,44,53],"posteriori":[23],"(MAP)":[24],"and":[25,49,67],"minimum":[26],"mean":[27],"square":[28],"error":[29],"(MMSE)":[30],"estimation":[31,78],"outputs":[32],"four":[34],"different":[35],"are":[37],"compared.":[38],"We":[39],"also":[40],"include":[41],"comparison":[42],"non-joint":[45,68],"filter":[48,51],"Kalman":[50],"baseline.":[54],"Simulation":[55],"results":[56],"show":[57],"that":[58],"claimed":[59],"performance":[60,79],"MAP":[62],"based":[63],"output":[64],"is":[65],"misleading":[66],"seems":[72],"more":[73],"appealing":[74],"in":[75],"terms":[76],"than":[80],"counterparts.":[83]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}