{"id":"https://openalex.org/W4360996761","doi":"https://doi.org/10.1109/icct56141.2022.10072959","title":"The TDOA-Based Kalman Filter for Trajectory Tracking","display_name":"The TDOA-Based Kalman Filter for Trajectory Tracking","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4360996761","doi":"https://doi.org/10.1109/icct56141.2022.10072959"},"language":"en","primary_location":{"id":"doi:10.1109/icct56141.2022.10072959","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icct56141.2022.10072959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","raw_type":"proceedings-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/A5101631897","display_name":"Shunyu Yao","orcid":"https://orcid.org/0009-0002-1980-225X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunyu Yao","raw_affiliation_strings":["Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China"],"affiliations":[{"raw_affiliation_string":"Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021820310","display_name":"Qiao Meng","orcid":"https://orcid.org/0000-0002-8075-7171"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Meng","raw_affiliation_strings":["Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China"],"affiliations":[{"raw_affiliation_string":"Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102463570","display_name":"Chenye Zhou","orcid":"https://orcid.org/0000-0001-7602-5296"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenye Zhou","raw_affiliation_strings":["Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China"],"affiliations":[{"raw_affiliation_string":"Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011698615","display_name":"Gaojing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaojing Li","raw_affiliation_strings":["Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China"],"affiliations":[{"raw_affiliation_string":"Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113299587","display_name":"Shaocong Guo","orcid":"https://orcid.org/0000-0002-5623-7387"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaocong Guo","raw_affiliation_strings":["Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China"],"affiliations":[{"raw_affiliation_string":"Institute of RF- &#x0026; OE-ICs, Southeast University,NanJing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101631897"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4983597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991999864578247,"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/T10860","display_name":"Speech and Audio Processing","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/multilateration","display_name":"Multilateration","score":0.9059168100357056},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8137335777282715},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.624539315700531},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6152379512786865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111186146736145},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.601587176322937},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5341016054153442},{"id":"https://openalex.org/keywords/fdoa","display_name":"FDOA","score":0.5307329297065735},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5025055408477783},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4437607228755951},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.41686806082725525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33914780616760254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3373233675956726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30224424600601196},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24392622709274292},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.060814112424850464},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060446590185165405}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9059168100357056},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8137335777282715},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.624539315700531},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6152379512786865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111186146736145},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.601587176322937},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5341016054153442},{"id":"https://openalex.org/C14774633","wikidata":"https://www.wikidata.org/wiki/Q5425288","display_name":"FDOA","level":4,"score":0.5307329297065735},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5025055408477783},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4437607228755951},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.41686806082725525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33914780616760254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3373233675956726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30224424600601196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24392622709274292},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.060814112424850464},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060446590185165405},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct56141.2022.10072959","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icct56141.2022.10072959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1634480436","https://openalex.org/W2013458529","https://openalex.org/W2030107550","https://openalex.org/W2108581205","https://openalex.org/W2120350100","https://openalex.org/W2134060757","https://openalex.org/W2154347068","https://openalex.org/W2422344877","https://openalex.org/W2768200951","https://openalex.org/W2896850928","https://openalex.org/W2901105864","https://openalex.org/W3176852835","https://openalex.org/W3199495498"],"related_works":["https://openalex.org/W2776253891","https://openalex.org/W2129263947","https://openalex.org/W2038717975","https://openalex.org/W2370956270","https://openalex.org/W2268218630","https://openalex.org/W2392726999","https://openalex.org/W3170014970","https://openalex.org/W2614060229","https://openalex.org/W4380605555","https://openalex.org/W2363281687"],"abstract_inverted_index":{"The":[0,13,91],"TDOA-based":[1,57,104],"location":[2,11],"methods":[3],"are":[4],"widely":[5],"used":[6],"in":[7,29,49,84],"the":[8,23,27,33,36,41,46,50,64,68,74,81,85,96,103,113,125,129],"passive":[9],"source":[10],"(PSL).":[12],"Kalman":[14,58],"Filter":[15,59],"(KF)":[16],"is":[17,60,77,106],"a":[18,56],"general":[19,126],"technology":[20],"to":[21,108],"filter":[22],"noise":[24,48,83],"and":[25,80],"track":[26],"target":[28],"PSL":[30],"systems.":[31],"However,":[32],"KF":[34,105,127],"following":[35,128],"position":[37,87,130],"estimation":[38,131],"will":[39],"reduce":[40],"tracking":[42],"accuracy":[43],"because":[44],"of":[45,102,112],"correlated":[47,82],"estimated":[51,86],"coordinates.":[52],"In":[53,71],"this":[54,72],"paper,":[55],"proposed,":[61],"which":[62],"uses":[63],"measured":[65],"TDOAs":[66],"as":[67],"input":[69],"parameters.":[70],"way,":[73],"TDOA":[75],"information":[76],"fully":[78],"utilized":[79],"can":[88],"be":[89],"avoided.":[90],"simulation":[92],"results":[93],"show":[94],"that":[95],"root":[97],"mean":[98],"square":[99],"error":[100],"(RMSE)":[101],"reduced":[107],"less":[109],"than":[110,124],"40%":[111],"traditional":[114],"localization":[115],"method":[116],"with":[117],"no":[118],"filter.":[119],"And":[120],"it":[121],"performs":[122],"better":[123],"step.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
