{"id":"https://openalex.org/W2896429919","doi":"https://doi.org/10.1109/taes.2018.2875555","title":"GP-PDA Filter for Extended Target Tracking With Measurement Origin Uncertainty","display_name":"GP-PDA Filter for Extended Target Tracking With Measurement Origin Uncertainty","publication_year":2018,"publication_date":"2018-10-11","ids":{"openalex":"https://openalex.org/W2896429919","doi":"https://doi.org/10.1109/taes.2018.2875555","mag":"2896429919"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2018.2875555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2018.2875555","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/A5007882126","display_name":"Yunfei Guo","orcid":"https://orcid.org/0000-0001-7887-4312"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunfei Guo","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7887-4312","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628800","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-3098-6363"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083431484","display_name":"Ratnasingham Tharmarasa","orcid":"https://orcid.org/0000-0003-3439-4135"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ratnasingham Tharmarasa","raw_affiliation_strings":["McMaster University, Hamilton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112276731","display_name":"Thiagalingam Kirubarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thiagalingam Kirubarajan","raw_affiliation_strings":["McMaster University, Hamilton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","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":["Ankara University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-4028-854X","affiliations":[{"raw_affiliation_string":"Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102919677","display_name":"Bahadir Sarikaya","orcid":"https://orcid.org/0000-0002-6733-0747"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bahadir Sarikaya","raw_affiliation_strings":["Aselsan, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6733-0747","affiliations":[{"raw_affiliation_string":"Aselsan, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007882126"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":2.5384,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91931133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"55","issue":"4","first_page":"1725","last_page":"1742"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9843999743461609,"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":0.9491999745368958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8048523664474487},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.636616587638855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797654390335083},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5768157243728638},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.549422025680542},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4966290593147278},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4867155849933624},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4522354006767273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44395753741264343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4422043263912201},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4192643165588379},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4170644283294678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4061220586299896},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3889507055282593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2995404303073883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11772891879081726},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10632029175758362},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0938480794429779}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8048523664474487},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.636616587638855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797654390335083},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5768157243728638},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.549422025680542},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4966290593147278},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4867155849933624},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4522354006767273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44395753741264343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4422043263912201},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4192643165588379},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4170644283294678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4061220586299896},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3889507055282593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2995404303073883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11772891879081726},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10632029175758362},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0938480794429779},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2018.2875555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2018.2875555","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/G1113205603","display_name":null,"funder_award_id":"61871166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3413785771","display_name":null,"funder_award_id":"D17019","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1836752116","https://openalex.org/W1871194732","https://openalex.org/W1959279866","https://openalex.org/W1965305830","https://openalex.org/W1966447678","https://openalex.org/W1974959551","https://openalex.org/W1993584284","https://openalex.org/W2000460081","https://openalex.org/W2007097714","https://openalex.org/W2016876852","https://openalex.org/W2017022358","https://openalex.org/W2018275473","https://openalex.org/W2020324514","https://openalex.org/W2021484850","https://openalex.org/W2031819296","https://openalex.org/W2034999760","https://openalex.org/W2046579491","https://openalex.org/W2050563854","https://openalex.org/W2058568645","https://openalex.org/W2065841665","https://openalex.org/W2075497462","https://openalex.org/W2077969890","https://openalex.org/W2078413699","https://openalex.org/W2078812312","https://openalex.org/W2091651498","https://openalex.org/W2104130465","https://openalex.org/W2118603200","https://openalex.org/W2119197344","https://openalex.org/W2130054489","https://openalex.org/W2144598923","https://openalex.org/W2144752325","https://openalex.org/W2150440166","https://openalex.org/W2154616225","https://openalex.org/W2159894619","https://openalex.org/W2166687466","https://openalex.org/W2245423673","https://openalex.org/W2279280083","https://openalex.org/W2511295330","https://openalex.org/W2511472858","https://openalex.org/W2521529615","https://openalex.org/W2556886647","https://openalex.org/W2569579284","https://openalex.org/W2588515082","https://openalex.org/W2969586367","https://openalex.org/W4211049957","https://openalex.org/W6639253883","https://openalex.org/W6725328698","https://openalex.org/W6725940492","https://openalex.org/W6726979436"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2070318884","https://openalex.org/W1489621653","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"Extended":[0],"target":[1,27,59,126,158],"tracking":[2,23,159],"(ETT)":[3],"is":[4,51,76,97,111,132,137,148,169],"an":[5,24,55],"issue":[6],"in":[7,89,155],"high-resolution":[8],"radar":[9],"surveillance,":[10],"ship":[11],"tracking,":[12],"and":[13,34,83,119,145,197],"video":[14],"tracking.":[15],"Most":[16],"of":[17,123,141,152,175,184,192,204],"the":[18,43,72,79,84,105,108,116,120,124,135,142,146,153,156,162,173,176,185,190,202,205],"previous":[19],"works":[20],"focus":[21],"on":[22],"ellipsoidal":[25],"extended":[26,58,125],"without":[28],"measurement":[29,61,67,128,179],"origin":[30,62,129,180],"uncertainty":[31],"(missed":[32],"detections":[33],"clutter).":[35],"In":[36],"this":[37,90],"paper,":[38],"a":[39,65,93,138,149],"new":[40],"estimator":[41],"called":[42],"Gaussian":[44,73],"process":[45,74],"probabilistic":[46],"data":[47],"association":[48],"(GP-PDA)":[49],"filter":[50,110],"proposed":[52,112,206],"to":[53,99,103,113,171],"track":[54],"irregularly":[56],"shaped":[57],"with":[60,127,178,189],"uncertainty.":[63,130,181],"First,":[64],"generalized":[66,139],"model":[68],"for":[69],"ETT":[70,177],"using":[71],"(GP)":[75],"presented.":[77],"Both":[78],"interior":[80],"scattering":[81,193],"points":[82,194],"external":[85],"clutter":[86],"are":[87,187],"considered":[88],"model.":[91],"Second,":[92],"GP-based":[94,163],"gating":[95],"technique":[96],"constructed":[98],"select":[100],"validated":[101],"measurements":[102],"feed":[104],"filter.":[106],"Third,":[107],"GP-PDA":[109,136],"simultaneously":[114],"estimate":[115],"kinematic":[117],"state":[118,122],"contour":[121],"It":[131],"proven":[133],"that":[134],"version":[140],"classic":[143],"PDA,":[144],"latter":[147],"special":[150],"case":[151],"former":[154],"point":[157],"applications.":[160],"Finally,":[161],"posterior":[164],"Cram\u00e9r-Rao":[165],"lower":[166],"bound":[167],"(PCRLB)":[168],"derived":[170],"evaluate":[172],"performance":[174],"Two":[182],"cases":[183],"PCRLB":[186],"discussed,":[188],"number":[191],"being":[195],"known":[196],"unknown.":[198],"Simulation":[199],"results":[200],"verify":[201],"effectiveness":[203],"method.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
