{"id":"https://openalex.org/W1985499982","doi":"https://doi.org/10.1109/tsp.2011.2178600","title":"Adaptive Gating for Multitarget Tracking With Gaussian Mixture Filters","display_name":"Adaptive Gating for Multitarget Tracking With Gaussian Mixture Filters","publication_year":2011,"publication_date":"2011-12-07","ids":{"openalex":"https://openalex.org/W1985499982","doi":"https://doi.org/10.1109/tsp.2011.2178600","mag":"1985499982"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2178600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2178600","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/A5062896385","display_name":"Davide Macagnano","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Davide Macagnano","raw_affiliation_strings":["Centre for Wireless Communications, Department of Electrical and Information Engineering, University of Oulu","Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu, Finland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications, Department of Electrical and Information Engineering, University of Oulu","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu, Finland#TAB#","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Thadeu Freitas de Abreu","raw_affiliation_strings":["School of Eng. &amp; Science&#x2014;SES, Department Elec. Eng. and Computer Science, Jacobs University, Bremen, Germany","Dept. of Electr. Eng. & Comput. Sci., Jacobs Univ. Bremen, Bremen, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Eng. &amp; Science&#x2014;SES, Department Elec. Eng. and Computer Science, Jacobs University, Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Jacobs Univ. Bremen, Bremen, Germany#TAB#","institution_ids":["https://openalex.org/I193619901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3138,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94168242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"60","issue":"3","first_page":"1533","last_page":"1538"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9763000011444092,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/gaussian","display_name":"Gaussian","score":0.6667923927307129},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.6219569444656372},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.5794287323951721},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5583213567733765},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5441656112670898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5285956859588623},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5273990035057068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5272566080093384},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5061792731285095},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5057823657989502},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44715073704719543},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4471222162246704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4318394660949707},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.422094464302063},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.42190489172935486},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37358900904655457},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33508479595184326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27179044485092163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16384407877922058}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6667923927307129},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.6219569444656372},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.5794287323951721},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5583213567733765},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5441656112670898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5285956859588623},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5273990035057068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5272566080093384},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5061792731285095},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5057823657989502},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44715073704719543},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4471222162246704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4318394660949707},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.422094464302063},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.42190489172935486},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37358900904655457},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33508479595184326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27179044485092163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16384407877922058},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/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/tsp.2011.2178600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2178600","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1557595030","https://openalex.org/W1568122762","https://openalex.org/W2014787937","https://openalex.org/W2052197092","https://openalex.org/W2054091988","https://openalex.org/W2097249527","https://openalex.org/W2105905583","https://openalex.org/W2106873007","https://openalex.org/W2123487311","https://openalex.org/W2126423185","https://openalex.org/W2126885789","https://openalex.org/W2134981642","https://openalex.org/W2137585588","https://openalex.org/W2161435744","https://openalex.org/W2544247579","https://openalex.org/W6633511732"],"related_works":["https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W4385304246","https://openalex.org/W4387096269","https://openalex.org/W4387096070","https://openalex.org/W2410610877","https://openalex.org/W2072696177","https://openalex.org/W2129483036","https://openalex.org/W1600697972"],"abstract_inverted_index":{"In":[0,165],"this":[1],"correspondence,":[2],"we":[3,90],"use":[4],"a":[5,30,53,65],"generalization":[6],"of":[7,20,34,41,49,64,73,114,137],"the":[8,12,18,47,57,62,69,82,86,87,94,101,111,115,123,129,135,138,146,168,180,185],"Bayesian":[9],"approach":[10],"to":[11,27,81,92,121,134,156],"multitarget":[13],"problem":[14],"that":[15,145],"goes":[16],"under":[17],"name":[19],"cardinalized":[21],"probability":[22],"hypothesis":[23],"density":[24],"(CPHD)":[25],"filter":[26,98],"jointly":[28],"estimate":[29],"time":[31,125,170],"varying":[32],"number":[33],"targets":[35],"and":[36],"their":[37],"locations":[38],"from":[39],"sets":[40],"noisy":[42],"range":[43],"measurements.":[44],"While":[45],"in":[46,61,85,132,152,163],"case":[48,72],"Gaussian":[50,66],"linear":[51],"models":[52],"closed-form":[54],"solution":[55],"for":[56],"CPHD":[58],"recursion":[59],"exists":[60],"form":[63],"mixture":[67],"(GM),":[68],"more":[70],"general":[71],"nonlinear":[74],"systems":[75],"suboptimal":[76],"solutions":[77],"becomes":[78],"necessary.":[79],"Due":[80],"Gaussianity":[83],"assumption":[84],"GM-CPHD":[88,102],"filter,":[89,118],"propose":[91],"integrate":[93],"square-root":[95],"cubature":[96],"Kalman":[97],"(S-CKF)":[99],"into":[100],"recursion.":[103],"A":[104],"novel":[105],"weighted":[106],"gating":[107,148,177],"strategy,":[108],"which":[109],"exploits":[110],"GM":[112,140],"implementation":[113],"proposed":[116,147],"S-CKF-GM-CPHD":[117],"is":[119,178],"offered":[120],"lower":[122],"computational":[124],"by":[126],"adaptively":[127],"increasing":[128],"gate":[130],"sizes":[131],"proportion":[133],"likelihood":[136],"single":[139],"components.":[141],"The":[142],"results":[143],"reveal":[144],"yields":[149],"considerable":[150],"savings":[151],"processing":[153],"requirements":[154],"compared":[155],"no":[157],"gating,":[158],"without":[159],"any":[160],"significant":[161],"degradation":[162],"performance.":[164],"addition,":[166],"although":[167],"run":[169],"improvement":[171],"achieved":[172],"with":[173],"elliptical":[174],"or":[175],"adaptive":[176],"equivalent,":[179],"latter":[181],"does":[182],"not":[183],"degrade":[184],"results.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
