{"id":"https://openalex.org/W4225318305","doi":"https://doi.org/10.23919/ascc56756.2022.9828175","title":"Machine Learning-Based GPS Multipath Detection Method Using Dual Antennas","display_name":"Machine Learning-Based GPS Multipath Detection Method Using Dual Antennas","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4225318305","doi":"https://doi.org/10.23919/ascc56756.2022.9828175"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828175","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828175","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.14001","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100653740","display_name":"Sang\u2013Hyoun Kim","orcid":"https://orcid.org/0000-0003-3835-4077"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sanghyun Kim","raw_affiliation_strings":["Yonsei University,School of Integrated Technology,Incheon,Korea","School of Integrated Technology, Yonsei University, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology,Incheon,Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Incheon, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108783596","display_name":"Jungyun Byun","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungyun Byun","raw_affiliation_strings":["Yonsei University,School of Integrated Technology,Incheon,Korea","School of Integrated Technology, Yonsei University, Incheon, Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology,Incheon,Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Incheon, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078136912","display_name":"Kwansik Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2800747041","display_name":"Korea Aerospace Research Institute","ror":"https://ror.org/037pqnq23","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2800747041","https://openalex.org/I2801339556","https://openalex.org/I4387152098","https://openalex.org/I4412460384"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwansik Park","raw_affiliation_strings":["Korea Aerospace Research Institute,Daejeon,Korea","Korea Aerospace Research Institute, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Aerospace Research Institute,Daejeon,Korea","institution_ids":["https://openalex.org/I2800747041"]},{"raw_affiliation_string":"Korea Aerospace Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I2800747041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100653740"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":5.3039,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.97349823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"691","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987000226974487,"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":0.9728999733924866,"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/computer-science","display_name":"Computer science","score":0.7466413974761963},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.735801100730896},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.7312154769897461},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.7109492421150208},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6549414992332458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715510845184326},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.548879861831665},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.524860143661499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5216386914253235},{"id":"https://openalex.org/keywords/gps-signals","display_name":"GPS signals","score":0.5054552555084229},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4577791094779968},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.44224926829338074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32992303371429443},{"id":"https://openalex.org/keywords/assisted-gps","display_name":"Assisted GPS","score":0.30128777027130127},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12550795078277588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466413974761963},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.735801100730896},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.7312154769897461},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.7109492421150208},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6549414992332458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715510845184326},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.548879861831665},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.524860143661499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5216386914253235},{"id":"https://openalex.org/C12957241","wikidata":"https://www.wikidata.org/wiki/Q15903792","display_name":"GPS signals","level":4,"score":0.5054552555084229},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4577791094779968},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.44224926829338074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32992303371429443},{"id":"https://openalex.org/C198613851","wikidata":"https://www.wikidata.org/wiki/Q432394","display_name":"Assisted GPS","level":3,"score":0.30128777027130127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12550795078277588},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828175","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828175","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2204.14001","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.14001","pdf_url":"https://arxiv.org/pdf/2204.14001","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.14001","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.14001","pdf_url":"https://arxiv.org/pdf/2204.14001","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W52595059","https://openalex.org/W2035978125","https://openalex.org/W2078248583","https://openalex.org/W2101234009","https://openalex.org/W2587967586","https://openalex.org/W2603738233","https://openalex.org/W2793716893","https://openalex.org/W2799796210","https://openalex.org/W2897132369","https://openalex.org/W2903054914","https://openalex.org/W2904923234","https://openalex.org/W2921777890","https://openalex.org/W2929531591","https://openalex.org/W2936312397","https://openalex.org/W2953065146","https://openalex.org/W2967683249","https://openalex.org/W2968637695","https://openalex.org/W2971282025","https://openalex.org/W2979346514","https://openalex.org/W2989902081","https://openalex.org/W3003660038","https://openalex.org/W3005618843","https://openalex.org/W3021027848","https://openalex.org/W3023869973","https://openalex.org/W3029542346","https://openalex.org/W3034226891","https://openalex.org/W3036680816","https://openalex.org/W3037578658","https://openalex.org/W3044810324","https://openalex.org/W3045879363","https://openalex.org/W3087887627","https://openalex.org/W3088387555","https://openalex.org/W3088388900","https://openalex.org/W3088743831","https://openalex.org/W3089038822","https://openalex.org/W3089234822","https://openalex.org/W3089306389","https://openalex.org/W3091850484","https://openalex.org/W3094980619","https://openalex.org/W3096265635","https://openalex.org/W3096445762","https://openalex.org/W3097335679","https://openalex.org/W3097426718","https://openalex.org/W3097883852","https://openalex.org/W3102424540","https://openalex.org/W3102797928","https://openalex.org/W3106046302","https://openalex.org/W3111484355","https://openalex.org/W3112860859","https://openalex.org/W3118170887","https://openalex.org/W3119064584","https://openalex.org/W3119146235","https://openalex.org/W3139163946","https://openalex.org/W3145920807","https://openalex.org/W3163218877","https://openalex.org/W3169427069","https://openalex.org/W3176869777","https://openalex.org/W3194046251","https://openalex.org/W3195582436","https://openalex.org/W3196141264","https://openalex.org/W3199107835","https://openalex.org/W3200058813","https://openalex.org/W3204455772","https://openalex.org/W3204620638","https://openalex.org/W3208391977","https://openalex.org/W3208604752","https://openalex.org/W3209000275","https://openalex.org/W4205638186","https://openalex.org/W4225156048","https://openalex.org/W4254398484","https://openalex.org/W4287022407","https://openalex.org/W4298046545","https://openalex.org/W4298164364","https://openalex.org/W6602146531","https://openalex.org/W6675354045","https://openalex.org/W6736358560","https://openalex.org/W6757696951","https://openalex.org/W6770019919","https://openalex.org/W6782367333","https://openalex.org/W6785050965","https://openalex.org/W6792427257","https://openalex.org/W6802424288"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"In":[0,22],"urban":[1],"areas,":[2],"global":[3,32],"navigation":[4],"satellite":[5],"system":[6,34],"(GNSS)":[7],"signals":[8],"are":[9],"often":[10],"reflected":[11],"or":[12],"blocked":[13],"by":[14],"buildings,":[15],"thus":[16],"resulting":[17],"in":[18],"large":[19],"positioning":[20,33],"errors.":[21],"this":[23],"study,":[24],"we":[25],"proposed":[26],"a":[27,71,109,151],"machine":[28,43,68,89],"learning":[29,44,90],"approach":[30],"for":[31,67],"(GPS)":[35],"multipath":[36],"detection":[37],"that":[38,46,108],"uses":[39],"dual":[40,76],"antennas.":[41],"A":[42],"model":[45],"could":[47],"classify":[48],"GPS":[49,57],"signal":[50],"reception":[51],"conditions":[52],"was":[53,106,114,121,140,156],"trained":[54],"with":[55],"several":[56],"measurements":[58],"selected":[59],"as":[60,127],"suggested":[61],"features.":[62],"We":[63],"applied":[64],"five":[65],"features":[66],"learning,":[69],"including":[70],"feature":[72],"obtained":[73],"from":[74,145],"the":[75,80,84,117,124,130,136,148],"antennas,":[77],"and":[78,101],"evaluated":[79],"classification":[81,110,152],"performance":[82],"of":[83,112,129,147,154],"model,":[85],"after":[86],"applying":[87],"four":[88],"algorithms:":[91],"gradient":[92],"boosting":[93],"decision":[94,99],"tree":[95],"(GBDT),":[96],"random":[97],"forest,":[98],"tree,":[100],"K-nearest":[102],"neighbor":[103],"(KNN).":[104],"It":[105],"found":[107],"accuracy":[111,153],"82%\u201396%":[113],"achieved":[115],"when":[116,135],"test":[118,137],"data":[119,132,138],"set":[120,139],"collected":[122,141],"at":[123,142],"same":[125],"locations":[126,143],"those":[128,146],"training":[131,149],"set.":[133],"However,":[134],"different":[144],"data,":[150],"44%\u201377%":[155],"obtained.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}