{"id":"https://openalex.org/W4416649805","doi":"https://doi.org/10.1109/access.2025.3636807","title":"UWB-Based Positioning System for Outdoor and Indoor Environments","display_name":"UWB-Based Positioning System for Outdoor and Indoor Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416649805","doi":"https://doi.org/10.1109/access.2025.3636807"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3636807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636807","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3636807","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Viet-Dung Trinh","orcid":"https://orcid.org/0009-0000-9240-9804"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Viet-Dung Trinh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0009-0000-9240-9804","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108971332","display_name":"M. V. Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh-Duc Hoang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0009-0005-1244-3444","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vu-Anh Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Vu-Anh Dang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Student, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016741719","display_name":"Minh Thuy Le","orcid":"https://orcid.org/0000-0002-5712-7032"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh-Thuy Le","raw_affiliation_strings":["Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-5712-7032","affiliations":[{"raw_affiliation_string":"Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089548884","display_name":"Dai Duong Nguyen","orcid":"https://orcid.org/0000-0001-9386-6695"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dai-Duong Nguyen","raw_affiliation_strings":["Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-9386-6695","affiliations":[{"raw_affiliation_string":"Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Sensor Laboratory, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33485179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"202988","last_page":"203003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9232000112533569,"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":0.9232000112533569,"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/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.01850000023841858,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/indoor-positioning-system","display_name":"Indoor positioning system","score":0.7311000227928162},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6258000135421753},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.619700014591217},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5943999886512756},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.49729999899864197},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4837000072002411},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.4593000113964081},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.45590001344680786},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.45170000195503235},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944999933242798},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.7311000227928162},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6258000135421753},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.619700014591217},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5943999886512756},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.503000020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001000165939331},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.49729999899864197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4837000072002411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46320000290870667},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.45590001344680786},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.3792000114917755},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.3711000084877014},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.3472000062465668},{"id":"https://openalex.org/C2778075934","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning technology","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3636807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636807","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:02ce1ba5fd004fdea50e8187f85d280d","is_oa":true,"landing_page_url":"https://doaj.org/article/02ce1ba5fd004fdea50e8187f85d280d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 202988-203003 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3636807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636807","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra-Wideband":[0],"(UWB)":[1],"technology":[2],"has":[3],"gained":[4],"significant":[5],"attention":[6],"for":[7,184],"high-precision":[8],"positioning":[9,117,186],"in":[10,19,89,120],"both":[11,104],"indoor":[12,54,121],"and":[13,27,74,106,148,181],"outdoor":[14,90],"environments.":[15,189],"However,":[16],"its":[17,93],"application":[18],"real-world":[20,175],"conditions":[21],"remains":[22],"challenged":[23],"by":[24],"environmental":[25],"interference":[26],"signal":[28,108,176],"degradation.":[29],"This":[30],"paper":[31],"introduces":[32],"a":[33,49,61,75,83,136,142,149,179],"novel":[34],"dual-branch":[35,100],"multi-layer":[36],"perceptron":[37],"(MLP)":[38],"model":[39],"that":[40],"significantly":[41],"improves":[42],"the":[43,58,114,164],"accuracy":[44,94],"of":[45,86,145,166],"UWB":[46,62],"localization,":[47],"with":[48,70,141,154,170],"particular":[50],"focus":[51],"on":[52,65],"complex":[53],"scenarios.":[55],"We":[56],"evaluate":[57],"approach":[59],"using":[60],"system":[63],"based":[64],"single-sided":[66],"two-way":[67],"ranging":[68],"(SS-TWR)":[69],"three":[71],"fixed":[72],"anchors":[73],"mobile":[76],"tag.":[77],"While":[78],"conventional":[79,171],"geometric":[80],"triangulation":[81],"achieved":[82],"mean":[84,115,143],"error":[85,118,144],"0.17":[87],"m":[88,125,147],"line-of-sight":[91],"conditions,":[92],"dropped":[95],"considerably":[96],"indoors.":[97],"The":[98],"proposed":[99],"MLP,":[101],"which":[102],"integrates":[103],"distance":[105],"received":[107],"strength":[109],"indicator":[110],"(RSSI)":[111],"features,":[112],"reduced":[113],"absolute":[116],"(MAE)":[119],"environments":[122],"from":[123],"0.87":[124],"(triangulation)":[126],"to":[127,173],"0.45":[128],"m.":[129],"It":[130],"also":[131],"outperformed":[132],"state-of-the-art":[133],"baselines,":[134],"including":[135],"graph":[137],"neural":[138,151],"network":[139,152],"(GNN)":[140],"0.47":[146],"convolutional":[150],"(CNN)":[153],"0.52":[155],"m,":[156],"under":[157],"identical":[158],"test":[159],"conditions.":[160],"These":[161],"results":[162],"demonstrate":[163],"effectiveness":[165],"combining":[167],"machine":[168],"learning":[169],"techniques":[172],"mitigate":[174],"variability,":[177],"offering":[178],"robust":[180],"scalable":[182],"solution":[183],"UWB-based":[185],"across":[187],"diverse":[188]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-11-25T00:00:00"}