{"id":"https://openalex.org/W3008383159","doi":"https://doi.org/10.1109/tvt.2020.2976095","title":"Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking","display_name":"Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking","publication_year":2020,"publication_date":"2020-02-24","ids":{"openalex":"https://openalex.org/W3008383159","doi":"https://doi.org/10.1109/tvt.2020.2976095","mag":"3008383159"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2020.2976095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.2976095","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Multi-Frame_Track-Before-Detect_Algorithm_for_Maneuvering_Target_Tracking/27529497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100339151","display_name":"Wei Yi","orcid":"https://orcid.org/0000-0001-9878-7048"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Yi","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109043462","display_name":"Zicheng Fang","orcid":"https://orcid.org/0009-0004-7193-537X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Fang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000767481","display_name":"Wujun Li","orcid":"https://orcid.org/0000-0002-8471-9324"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujun Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050176259","display_name":"Reza Hoseinnezhad","orcid":"https://orcid.org/0000-0001-9525-1467"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Reza Hoseinnezhad","raw_affiliation_strings":["School of Engineering, RMIT University, Carlton, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Carlton, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022778463","display_name":"Lingjiang Kong","orcid":"https://orcid.org/0000-0002-0991-4517"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjiang Kong","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100339151"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":11.9066,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":{"value":0.98856712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"69","issue":"4","first_page":"4104","last_page":"4118"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9715999960899353,"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/frame","display_name":"Frame (networking)","score":0.631824791431427},{"id":"https://openalex.org/keywords/track-before-detect","display_name":"Track-before-detect","score":0.597804605960846},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5875165462493896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5732797384262085},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.51455157995224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5013508796691895},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4588724672794342},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4192473590373993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3956097364425659},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34835392236709595},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.26163625717163086},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1332387924194336},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.11281570792198181}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.631824791431427},{"id":"https://openalex.org/C173028925","wikidata":"https://www.wikidata.org/wiki/Q7831461","display_name":"Track-before-detect","level":4,"score":0.597804605960846},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5875165462493896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5732797384262085},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.51455157995224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5013508796691895},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4588724672794342},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4192473590373993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3956097364425659},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34835392236709595},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.26163625717163086},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1332387924194336},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.11281570792198181},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvt.2020.2976095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.2976095","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:alma.61RMIT_INST:11254714240001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TVT.2020.2976095","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27529497","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Multi-Frame_Track-Before-Detect_Algorithm_for_Maneuvering_Target_Tracking/27529497","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27529497","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Multi-Frame_Track-Before-Detect_Algorithm_for_Maneuvering_Target_Tracking/27529497","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G6534452397","display_name":null,"funder_award_id":"61771110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8978917354","display_name":null,"funder_award_id":"B17008","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W265730738","https://openalex.org/W1501739804","https://openalex.org/W1663421356","https://openalex.org/W1780608253","https://openalex.org/W1830805748","https://openalex.org/W1836752116","https://openalex.org/W1971008109","https://openalex.org/W1973792507","https://openalex.org/W1992518780","https://openalex.org/W1992781095","https://openalex.org/W1996452649","https://openalex.org/W2004491626","https://openalex.org/W2007367317","https://openalex.org/W2031702911","https://openalex.org/W2033804800","https://openalex.org/W2038908796","https://openalex.org/W2047610117","https://openalex.org/W2050358028","https://openalex.org/W2052240371","https://openalex.org/W2055272024","https://openalex.org/W2058130919","https://openalex.org/W2067341428","https://openalex.org/W2068722817","https://openalex.org/W2096403282","https://openalex.org/W2097785478","https://openalex.org/W2099244407","https://openalex.org/W2111351552","https://openalex.org/W2114512496","https://openalex.org/W2123378338","https://openalex.org/W2124978072","https://openalex.org/W2129223507","https://openalex.org/W2129708101","https://openalex.org/W2137062348","https://openalex.org/W2140242774","https://openalex.org/W2140269179","https://openalex.org/W2142139268","https://openalex.org/W2148749846","https://openalex.org/W2155203358","https://openalex.org/W2156096110","https://openalex.org/W2157263764","https://openalex.org/W2166252990","https://openalex.org/W2169396814","https://openalex.org/W2238582461","https://openalex.org/W2439223899","https://openalex.org/W2479138194","https://openalex.org/W2508395685","https://openalex.org/W2571050459","https://openalex.org/W2586283610","https://openalex.org/W2612889333","https://openalex.org/W2748542155","https://openalex.org/W2901372043","https://openalex.org/W2932703605","https://openalex.org/W2953526693","https://openalex.org/W2963386712","https://openalex.org/W2975094552","https://openalex.org/W3187867541","https://openalex.org/W6630180051","https://openalex.org/W6725200627"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2920997275","https://openalex.org/W1530185773","https://openalex.org/W2366277528","https://openalex.org/W4385157332"],"abstract_inverted_index":{"Multi-frame":[0],"track-before-detect":[1],"(MF-TBD)":[2],"is":[3,49,153,174],"a":[4,10,20,25,42,131,175],"model-based":[5],"batch":[6,26],"processing":[7,27],"method.":[8],"Assuming":[9],"particular":[11,180],"model":[12,181],"for":[13,190,198],"the":[14,31,38,56,59,75,91,96,127,150,170,206,209],"evolution":[15],"of":[16,37,44,58,98,146,155,208],"target":[17,32,67,99,138,147,166],"states":[18],"(e.g.":[19],"constant":[21],"velocity":[22],"model)":[23],"within":[24],"time,":[28],"MF-TBD":[29],"integrates":[30],"energy":[33],"by":[34,126],"taking":[35],"advantage":[36],"space-time":[39],"correlations":[40],"between":[41],"number":[43],"consecutive":[45],"frames.":[46],"Its":[47],"performance":[48,119],"known":[50],"to":[51,63,94,112,136,164,204],"be":[52],"heavily":[53],"dependent":[54],"on":[55],"accuracy":[57],"motion":[60,192],"model,":[61],"and":[62,70,89,152,161,193],"substantially":[64],"degrade":[65],"when":[66],"maneuvers":[68,100],"occur":[69],"motions":[71],"do":[72],"not":[73],"follow":[74],"presumed":[76],"model.":[77],"We":[78],"make":[79],"two":[80],"contributions":[81],"towards":[82],"addressing":[83],"this":[84],"problem.":[85],"Firstly,":[86],"we":[87,129,183],"analyze":[88],"summarize":[90],"direct":[92],"strategies":[93,109],"incorporate":[95],"effect":[97],"into":[101],"MF-TBD.":[102],"Our":[103],"analysis":[104],"shows":[105],"that":[106],"although":[107],"these":[108],"are":[110,122,202],"straightforward":[111],"implement,":[113],"they":[114],"either":[115],"suffer":[116],"from":[117,149],"considerable":[118],"loss":[120],"or":[121],"computationally":[123],"expensive.":[124],"Motivated":[125],"analysis,":[128],"propose":[130],"general":[132,176],"measurement-directed":[133],"(MD)":[134],"strategy":[135,173],"address":[137],"maneuvers.":[139,167],"It":[140],"carries":[141],"out":[142],"an":[143],"on-line":[144],"study":[145],"dynamics":[148],"observations,":[151],"capable":[154],"achieving":[156],"both":[157],"low":[158],"computational":[159],"complexity":[160],"high":[162],"adaptability":[163],"different":[165],"Secondly,":[168],"as":[169],"proposed":[171,210],"MD":[172,211],"framework":[177],"without":[178],"any":[179],"assumptions,":[182],"further":[184],"derive":[185],"its":[186],"detailed":[187],"implementation":[188],"equations":[189],"linear":[191],"measurement":[194],"models.":[195],"Simulation":[196],"results":[197],"various":[199],"tracking":[200],"scenarios":[201],"presented":[203],"demonstrate":[205],"effectiveness":[207],"strategy.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}