{"id":"https://openalex.org/W4413344045","doi":"https://doi.org/10.1109/tim.2025.3599697","title":"Pedestrian Dead Reckoning and Ultrawideband Fusion Positioning Algorithm Based on Adaptive Gradient Descent","display_name":"Pedestrian Dead Reckoning and Ultrawideband Fusion Positioning Algorithm Based on Adaptive Gradient Descent","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413344045","doi":"https://doi.org/10.1109/tim.2025.3599697"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3599697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3599697","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-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/A5089406153","display_name":"Yingbiao Yao","orcid":"https://orcid.org/0000-0001-7946-6070"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingbiao Yao","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-7946-6070","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yitong Song","orcid":"https://orcid.org/0009-0007-4017-8574"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Song","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0007-4017-8574","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697514","display_name":"Zhuang Wang","orcid":"https://orcid.org/0000-0003-2501-0654"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Wang","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2501-0654","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080047709","display_name":"Zhengjing Zhou","orcid":"https://orcid.org/0000-0003-0165-3815"},"institutions":[{"id":"https://openalex.org/I874390226","display_name":"China Construction Bank","ror":"https://ror.org/00xkrw816","country_code":"CN","type":"other","lineage":["https://openalex.org/I874390226"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjing Zhou","raw_affiliation_strings":["Bank of Hangzhou Company Ltd., Hangzhou, Zhejiang, China","BANK OF HANGZHOU CO., LTD, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0165-3815","affiliations":[{"raw_affiliation_string":"Bank of Hangzhou Company Ltd., Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I874390226"]},{"raw_affiliation_string":"BANK OF HANGZHOU CO., LTD, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I874390226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084386606","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0002-9506-0887"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-9506-0887","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016115267","display_name":"Afeng Yang","orcid":"https://orcid.org/0009-0004-5457-8112"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Afeng Yang","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0004-5457-8112","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089406153"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9002371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"15"},"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":0.9406999945640564,"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":0.9406999945640564,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9366999864578247,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9311000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.7773218154907227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5995835661888123},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5706299543380737},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5560911893844604},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5525673031806946},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4961879849433899},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47533440589904785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4484383165836334},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.4479656517505646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131656587123871},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2383086085319519},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.22827059030532837},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1898220181465149},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18352213501930237},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14899829030036926}],"concepts":[{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.7773218154907227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5995835661888123},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5706299543380737},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5560911893844604},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5525673031806946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4961879849433899},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47533440589904785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4484383165836334},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.4479656517505646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131656587123871},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2383086085319519},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.22827059030532837},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1898220181465149},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18352213501930237},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14899829030036926},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3599697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3599697","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G5148007850","display_name":null,"funder_award_id":"GK249909299001-006","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"}],"funders":[{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2914350983","https://openalex.org/W2921507566","https://openalex.org/W2953529749","https://openalex.org/W2968825802","https://openalex.org/W2969806791","https://openalex.org/W2999022742","https://openalex.org/W2999654750","https://openalex.org/W3005785735","https://openalex.org/W3011291128","https://openalex.org/W3018780933","https://openalex.org/W3033586993","https://openalex.org/W3048924972","https://openalex.org/W3120364461","https://openalex.org/W3128400661","https://openalex.org/W3137032495","https://openalex.org/W3149021053","https://openalex.org/W3154148285","https://openalex.org/W3167119432","https://openalex.org/W3197013133","https://openalex.org/W4205387452","https://openalex.org/W4205779171","https://openalex.org/W4206120196","https://openalex.org/W4206549221","https://openalex.org/W4295916528","https://openalex.org/W4306835026","https://openalex.org/W4312298166","https://openalex.org/W4313291162","https://openalex.org/W4313398240","https://openalex.org/W4313490709","https://openalex.org/W4313547892","https://openalex.org/W4372292471","https://openalex.org/W4376851452","https://openalex.org/W4386868378","https://openalex.org/W4387682179","https://openalex.org/W4389403378","https://openalex.org/W4392567194","https://openalex.org/W4402436829","https://openalex.org/W4405785432","https://openalex.org/W4408520559","https://openalex.org/W4409311062","https://openalex.org/W6940877256"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2170799233","https://openalex.org/W4320736889"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,83,117,132],"address":[3],"the":[4,54,65,72,85,99,125,134,137,141,146,152,158,167,182,189,198,204],"challenges":[5],"of":[6,87,101,136,184,201],"unknown":[7,88],"initial":[8,66,89],"positions":[9,90],"and":[10,40,108,145,203],"accumulated":[11],"long-distance":[12],"positioning":[13,43,56,106,143,179,190,205],"errors":[14,25,200,206],"in":[15,31,91,121,140,176,211],"Pedestrian":[16],"Dead":[17],"Reckoning":[18],"(PDR),":[19],"as":[20,22,51],"well":[21],"significant":[23],"ranging":[24],"caused":[26,207],"by":[27,157,208],"non-line-of-sight":[28],"(NLOS)":[29],"conditions":[30,120,210],"Ultra-Wideband":[32],"(UWB)":[33],"localization,":[34],"this":[35],"paper":[36],"proposed":[37,116,126,168],"a":[38,94],"PDR":[39,105,202],"UWB":[41,122,186],"fusion":[42,142],"algorithm":[44,170],"based":[45,75,103],"on":[46,76,104],"adaptive":[47,159],"gradient":[48,160],"descent,":[49],"briefly":[50],"AGD-PDR-UWB,":[52],"for":[53],"indoor":[55],"scenarios":[57],"where":[58],"embedded":[59],"terminals":[60],"have":[61],"limited":[62],"resources.":[63],"Firstly,":[64],"pedestrian":[67,148],"position":[68,149],"is":[69,115,130,155,192],"estimated":[70],"using":[71],"least-squares":[73],"method":[74,129],"UWB-ranging":[77,109],"information":[78,110],"from":[79,111],"three":[80,185],"base":[81,187],"stations":[82],"solve":[84],"problem":[86],"PDR.":[92],"Secondly,":[93],"novel":[95],"method,":[96],"which":[97],"evaluates":[98],"degree":[100],"NLOS":[102,119,127,209],"results":[107,164],"two":[112,177],"consecutive":[113],"steps,":[114],"identify":[118],"signals.":[123],"Finally,":[124],"recognition":[128],"used":[131],"adjust":[133],"weight":[135],"loss":[138,153],"function":[139,154],"process,":[144],"optimal":[147],"that":[150,166],"minimizes":[151],"obtained":[156],"descent":[161],"method.":[162],"Experimental":[163],"demonstrate":[165],"AGD-PDR-UWB":[169],"outperforms":[171],"four":[172],"other":[173],"comparative":[174],"algorithms":[175],"different":[178],"scenarios.":[180],"Under":[181],"condition":[183],"stations,":[188],"error":[191],"within":[193],"0.5":[194],"m,":[195],"effectively":[196],"mitigating":[197],"cumulative":[199],"UWB.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}