{"id":"https://openalex.org/W3160230070","doi":"https://doi.org/10.1109/lsp.2021.3082040","title":"A Low Computational Complexity JPDA Filter With Superposition","display_name":"A Low Computational Complexity JPDA Filter With Superposition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3160230070","doi":"https://doi.org/10.1109/lsp.2021.3082040","mag":"3160230070"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3082040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3082040","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5017862380","display_name":"Robert Blair Angle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159782","display_name":"Metron (United States)","ror":"https://ror.org/04n91v483","country_code":"US","type":"company","lineage":["https://openalex.org/I4210159782"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Angle","raw_affiliation_strings":["Metron Inc., Reston, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metron Inc., Reston, VA, USA","institution_ids":["https://openalex.org/I4210159782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113545779","display_name":"Roy L. Streit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159782","display_name":"Metron (United States)","ror":"https://ror.org/04n91v483","country_code":"US","type":"company","lineage":["https://openalex.org/I4210159782"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roy Streit","raw_affiliation_strings":["Metron Inc., Reston, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Metron Inc., Reston, VA, USA","institution_ids":["https://openalex.org/I4210159782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011263433","display_name":"Murat Efe","orcid":"https://orcid.org/0000-0003-4028-854X"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Efe","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Ankara University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-4028-854X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1837,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89406923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"1031","last_page":"1035"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9801999926567078,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9735999703407288,"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/superposition-principle","display_name":"Superposition principle","score":0.8207439184188843},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6300442814826965},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6096571683883667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5402843952178955},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5151180624961853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145949125289917},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4820921719074249},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46812617778778076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40438592433929443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3794666528701782},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3318920135498047},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.097235769033432}],"concepts":[{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.8207439184188843},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6300442814826965},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6096571683883667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5402843952178955},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5151180624961853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145949125289917},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4820921719074249},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46812617778778076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40438592433929443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3794666528701782},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3318920135498047},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.097235769033432},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3082040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3082040","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":24,"referenced_works":["https://openalex.org/W631199723","https://openalex.org/W1513008779","https://openalex.org/W1541635765","https://openalex.org/W1984068279","https://openalex.org/W1987941491","https://openalex.org/W2006962396","https://openalex.org/W2014787937","https://openalex.org/W2022952747","https://openalex.org/W2049244691","https://openalex.org/W2066090970","https://openalex.org/W2083643725","https://openalex.org/W2097183228","https://openalex.org/W2110012495","https://openalex.org/W2142515220","https://openalex.org/W2272833473","https://openalex.org/W2395576523","https://openalex.org/W2577427639","https://openalex.org/W3030774485","https://openalex.org/W3108240427","https://openalex.org/W3120909583","https://openalex.org/W4240773390","https://openalex.org/W6632374898","https://openalex.org/W6694628733","https://openalex.org/W6712096354"],"related_works":["https://openalex.org/W4308749380","https://openalex.org/W1977264433","https://openalex.org/W2372481764","https://openalex.org/W2347371661","https://openalex.org/W4308448008","https://openalex.org/W2746368218","https://openalex.org/W2610947892","https://openalex.org/W2012943989","https://openalex.org/W2287286086","https://openalex.org/W1986565931"],"abstract_inverted_index":{"Object":[0],"superposition":[1,34,53],"is":[2,29,35,60,85],"a":[3],"way":[4],"to":[5,39,48,62],"derive":[6,49],"Bayesian":[7,20],"estimators":[8],"for":[9],"multiple":[10,21],"object":[11],"tracking":[12,23],"using":[13,76],"point":[14],"processes.":[15],"A":[16,79],"low":[17],"computational":[18],"complexity":[19],"target":[22,27],"filter,":[24],"based":[25],"on":[26],"superposition,":[28],"presented.":[30,86],"The":[31,56],"concept":[32],"of":[33,72],"introduced":[36],"and":[37],"applied":[38],"the":[40,50,69,73],"well-known":[41],"Joint":[42],"Probabilistic":[43],"Data":[44],"Association":[45],"(JPDA)":[46],"filter":[47],"JPDA":[51],"with":[52,82],"(JPDAS)":[54],"filter.":[55],"JPDAS":[57],"intensity":[58],"function":[59],"evaluated":[61],"machine":[63],"precision":[64],"\u201cfor":[65],"free\u201d":[66],"by":[67],"computing":[68],"generating":[70],"functional":[71],"posterior":[74],"process":[75],"complex":[77],"arithmetic.":[78],"simulated":[80],"example":[81],"eight":[83],"targets":[84]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
