{"id":"https://openalex.org/W3016262932","doi":"https://doi.org/10.1109/icassp40776.2020.9053618","title":"Robust Tdoa Indoor Tracking Using Constrained Measurement Filtering and Grid-Based Filtering","display_name":"Robust Tdoa Indoor Tracking Using Constrained Measurement Filtering and Grid-Based Filtering","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016262932","doi":"https://doi.org/10.1109/icassp40776.2020.9053618","mag":"3016262932"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086177347","display_name":"Rui Huang","orcid":"https://orcid.org/0000-0002-1819-7185"},"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":"Rui Huang","raw_affiliation_strings":["Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020883256","display_name":"Jun Tao","orcid":"https://orcid.org/0000-0002-1195-9503"},"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":"Jun Tao","raw_affiliation_strings":["Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052722469","display_name":"Le Yang","orcid":"https://orcid.org/0000-0001-7945-6323"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Le Yang","raw_affiliation_strings":["Department of ECE, University of Canterbury, Christchurch, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741592","display_name":"Yanbo Xue","orcid":"https://orcid.org/0000-0001-5999-1521"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanbo Xue","raw_affiliation_strings":["Career Science Lab, Kanzhun Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Career Science Lab, Kanzhun Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076758349","display_name":"Qisong Wu","orcid":"https://orcid.org/0000-0002-2114-7672"},"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":"Qisong Wu","raw_affiliation_strings":["Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4895","last_page":"4899"},"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":0.9977999925613403,"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":0.994700014591217,"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/multilateration","display_name":"Multilateration","score":0.9600092172622681},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8776233196258545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152458667755127},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6076675057411194},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5344919562339783},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5120227932929993},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4797724187374115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43923333287239075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3704609274864197},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.30194348096847534},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16193899512290955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1295795738697052},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.09644448757171631}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9600092172622681},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8776233196258545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152458667755127},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6076675057411194},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5344919562339783},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5120227932929993},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4797724187374115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43923333287239075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3704609274864197},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.30194348096847534},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16193899512290955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1295795738697052},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.09644448757171631},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":15,"referenced_works":["https://openalex.org/W2018890348","https://openalex.org/W2053103441","https://openalex.org/W2088735810","https://openalex.org/W2100989187","https://openalex.org/W2120350100","https://openalex.org/W2124216931","https://openalex.org/W2133902258","https://openalex.org/W2150371009","https://openalex.org/W2152110323","https://openalex.org/W2402514617","https://openalex.org/W2908979191","https://openalex.org/W2911037226","https://openalex.org/W2965545648","https://openalex.org/W2965608535","https://openalex.org/W3143399340"],"related_works":["https://openalex.org/W2391980879","https://openalex.org/W1636339314","https://openalex.org/W2903220199","https://openalex.org/W2799362944","https://openalex.org/W2083509671","https://openalex.org/W1978001812","https://openalex.org/W4307018408","https://openalex.org/W2355647129","https://openalex.org/W2353409691","https://openalex.org/W4200222286"],"abstract_inverted_index":{"This":[0,51],"paper":[1,52],"considers":[2],"exploiting":[3],"the":[4,48,66,69,72,76,81,109,119,125,142,156],"time":[5],"difference":[6],"of":[7,71,83],"arrival":[8],"(TDOA)":[9],"measurements":[10],"from":[11],"a":[12,21,92,129],"ultra":[13],"wideband":[14],"(UWB)":[15],"indoor":[16,26,62,151],"positioning":[17,153],"system":[18],"to":[19,32,36,47,58,65,79,98,124],"locate":[20],"moving":[22],"point":[23],"target.":[24],"In":[25],"environments,":[27],"measured":[28],"TDOAs":[29,78],"are":[30,44],"subject":[31],"large":[33,84],"errors":[34,86],"due":[35],"multipath":[37],"and/or":[38],"non-line-of-sight":[39],"(NLOS)":[40],"propagation.":[41],"Besides,":[42],"they":[43],"nonlinearly":[45],"related":[46],"target":[49,100,111,152],"position.":[50],"presents":[53],"an":[54],"enhanced":[55],"two-step":[56],"approach":[57],"achieve":[59,99],"robust":[60],"TDOA":[61,85,131,148],"tracking.":[63,102],"Similar":[64],"existing":[67],"method,":[68],"first-step":[70,126],"new":[73],"algorithm":[74],"preprocesses":[75],"raw":[77],"mitigate":[80],"effect":[82],"while":[87],"its":[88],"second":[89],"step":[90],"applies":[91],"recursively":[93],"bounded":[94],"grid-based":[95],"filter":[96],"(RBGF)":[97],"position":[101,112],"To":[103],"improve":[104],"performance,":[105],"in":[106],"this":[107],"work,":[108],"possible":[110],"area,":[113],"which":[114],"is":[115,121,134],"explicitly":[116],"obtained":[117],"by":[118],"RGBF,":[120],"fed":[122],"back":[123],"such":[127],"that":[128,141],"constrained":[130],"measurement":[132],"preprocessing":[133],"now":[135],"performed.":[136],"Extensive":[137],"simulation":[138],"results":[139],"show":[140],"newly":[143],"proposed":[144],"scheme":[145],"offers":[146],"better":[147],"estimation":[149],"and":[150,159],"accuracy":[154],"over":[155],"original":[157],"method":[158],"other":[160],"benchmark":[161],"algorithms.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
