{"id":"https://openalex.org/W4205815058","doi":"https://doi.org/10.1109/ipin51156.2021.9662553","title":"Anchor Pair Selection for Error Correction in Time Difference of Arrival (TDoA) Ultra Wideband (UWB) Positioning Systems","display_name":"Anchor Pair Selection for Error Correction in Time Difference of Arrival (TDoA) Ultra Wideband (UWB) Positioning Systems","publication_year":2021,"publication_date":"2021-11-29","ids":{"openalex":"https://openalex.org/W4205815058","doi":"https://doi.org/10.1109/ipin51156.2021.9662553"},"language":"en","primary_location":{"id":"doi:10.1109/ipin51156.2021.9662553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin51156.2021.9662553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/8734507/file/8734511.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045933854","display_name":"Ben Van Herbruggen","orcid":"https://orcid.org/0000-0001-8900-4881"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ben Van Herbruggen","raw_affiliation_strings":["INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005542751","display_name":"Jaron Fontaine","orcid":"https://orcid.org/0000-0001-5942-9440"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jaron Fontaine","raw_affiliation_strings":["INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026442244","display_name":"Eli De Poorter","orcid":"https://orcid.org/0000-0002-0214-5751"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Eli De Poorter","raw_affiliation_strings":["INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INTEC-IDLab, Ghent University-IMEC, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":1.9323,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86455897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10655","display_name":"GNSS positioning and interference","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.9708048701286316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944787502288818},{"id":"https://openalex.org/keywords/ultra-wideband","display_name":"Ultra-wideband","score":0.6222891807556152},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5964707732200623},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.49305459856987},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43519511818885803},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3696783185005188},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35199272632598877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3495357632637024},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.20876261591911316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19891807436943054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14761418104171753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10264438390731812}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9708048701286316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944787502288818},{"id":"https://openalex.org/C21916231","wikidata":"https://www.wikidata.org/wiki/Q851424","display_name":"Ultra-wideband","level":2,"score":0.6222891807556152},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5964707732200623},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.49305459856987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43519511818885803},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3696783185005188},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35199272632598877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3495357632637024},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.20876261591911316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19891807436943054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14761418104171753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10264438390731812},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipin51156.2021.9662553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin51156.2021.9662553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8734507","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8734507","pdf_url":"https://biblio.ugent.be/publication/8734507/file/8734511.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665404020","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:8734507","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8734507","pdf_url":"https://biblio.ugent.be/publication/8734507/file/8734511.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665404020","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.9200000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5427962371","display_name":null,"funder_award_id":"30452698","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205815058.pdf","grobid_xml":"https://content.openalex.org/works/W4205815058.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1897408279","https://openalex.org/W1966528658","https://openalex.org/W2183794822","https://openalex.org/W2213241233","https://openalex.org/W2443605611","https://openalex.org/W2732566925","https://openalex.org/W2783630587","https://openalex.org/W2800699461","https://openalex.org/W2886594666","https://openalex.org/W2913373835","https://openalex.org/W2920884871","https://openalex.org/W2921141616","https://openalex.org/W2928259172","https://openalex.org/W2966035132","https://openalex.org/W2976635190","https://openalex.org/W2996735343","https://openalex.org/W3045276361","https://openalex.org/W3045859024"],"related_works":["https://openalex.org/W2380649415","https://openalex.org/W3021137812","https://openalex.org/W2046534068","https://openalex.org/W2899282232","https://openalex.org/W1994863709","https://openalex.org/W2866180282","https://openalex.org/W2263681682","https://openalex.org/W2052117785","https://openalex.org/W3202186259","https://openalex.org/W2010171284"],"abstract_inverted_index":{"Ultra":[0],"wideband":[1],"positioning":[2,177],"systems":[3],"typically":[4],"use":[5,127],"techniques":[6,27],"such":[7],"as":[8],"two":[9],"way":[10],"ranging":[11],"(TWR)":[12],"or":[13,74],"time":[14],"difference":[15],"of":[16,23,31,63,91,163],"arrival":[17],"(TDoA)":[18],"to":[19,87,138],"calculate":[20],"the":[21,29,37,55,64,72,96,140,159,168,176],"position":[22,98],"mobile":[24,38],"tags.":[25],"TDoA":[26,56,97],"require":[28],"transmission":[30],"only":[32],"a":[33,61,89],"single":[34],"packet":[35],"by":[36,144,179,186,194],"tag,":[39],"thus":[40],"providing":[41],"better":[42],"scalability,":[43],"higher":[44],"update":[45],"rates":[46],"and":[47,83,112,115,120,123,134,149,193],"less":[48],"energy":[49],"consumption":[50],"than":[51],"TWR":[52],"techniques.":[53],"However,":[54],"performance":[57],"degrades":[58],"heavily":[59],"when":[60],"subset":[62,90],"anchors":[65,119],"are":[66],"in":[67,99],"non-line-of-sight":[68],"(NLOS)":[69],"conditions":[70,104,109,117],"with":[71,75,131],"tag":[73,111,122,133],"each":[76],"other.":[77],"To":[78],"remedy":[79],"this,":[80],"we":[81],"propose":[82],"compare":[84,139],"different":[85,101],"algorithms":[86,148,156,173,192],"select":[88],"anchor":[92,113,124,136,164,170],"pairs":[93],"before":[94],"calculating":[95],"3":[100],"conditions:":[102],"LOS":[103],"between":[105,110,118,121],"all":[106],"devices,":[107],"NLOS":[108,116],"nodes":[114,137],"nodes.":[125],"We":[126],"an":[128],"experimental":[129],"setup":[130],"1":[132],"8":[135],"accuracy":[141],"gains":[142],"obtained":[143],"using":[145,188],"both":[146],"simple":[147],"more":[150],"complex":[151],"machine":[152],"learning":[153],"(ML)":[154],"based":[155,198],"applied":[157],"on":[158],"channel":[160],"impulse":[161],"responses":[162],"pairs.":[165],"By":[166],"selecting":[167],"best":[169],"combinations":[171],"our":[172],"can":[174],"reduce":[175],"error":[178],"75%":[180],"(assuming":[181],"perfectly":[182],"known":[183],"ground":[184],"truth),":[185],"19%":[187],"realistically":[189],"low":[190],"complexity":[191],"38%":[195],"for":[196],"ML":[197],"algorithms.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}