{"id":"https://openalex.org/W4205110236","doi":"https://doi.org/10.1109/ucet54125.2021.9674979","title":"Single-Site Hybrid Positioning System Based on LOS Recognition","display_name":"Single-Site Hybrid Positioning System Based on LOS Recognition","publication_year":2021,"publication_date":"2021-11-04","ids":{"openalex":"https://openalex.org/W4205110236","doi":"https://doi.org/10.1109/ucet54125.2021.9674979"},"language":"en","primary_location":{"id":"doi:10.1109/ucet54125.2021.9674979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet54125.2021.9674979","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 UK-China Emerging Technologies (UCET)","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/A5100438769","display_name":"Gang Li","orcid":"https://orcid.org/0000-0003-1583-641X"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["Indoor Localization Team, ZTE Corporation, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indoor Localization Team, ZTE Corporation, Shenzhen, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082394387","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0002-8723-9932"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["School of EIE, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079422735","display_name":"Jiancun Fan","orcid":"https://orcid.org/0000-0002-7054-4324"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancun Fan","raw_affiliation_strings":["School of EIE, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666728","display_name":"Shijun Chen","orcid":"https://orcid.org/0000-0003-4255-0273"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Chen","raw_affiliation_strings":["Indoor Localization Team, ZTE Corporation, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indoor Localization Team, ZTE Corporation, Shenzhen, China","institution_ids":["https://openalex.org/I4210098582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"46"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253375053405762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6408522725105286},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.6326102614402771},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.5733002424240112},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4989457130432129},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4986138343811035},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4953414499759674},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4726395010948181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4718126058578491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43702957034111023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4355160593986511},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1669858694076538},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.16094085574150085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253375053405762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6408522725105286},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.6326102614402771},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.5733002424240112},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4989457130432129},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4986138343811035},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4953414499759674},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4726395010948181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4718126058578491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43702957034111023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4355160593986511},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1669858694076538},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.16094085574150085},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ucet54125.2021.9674979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet54125.2021.9674979","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 UK-China Emerging Technologies (UCET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2044846595","https://openalex.org/W2125797950","https://openalex.org/W2345276999","https://openalex.org/W2753866421","https://openalex.org/W2792442555","https://openalex.org/W2908203351","https://openalex.org/W2921299743","https://openalex.org/W2921383259","https://openalex.org/W2959898446","https://openalex.org/W2990048426","https://openalex.org/W3023686478","https://openalex.org/W3094620144","https://openalex.org/W3106393161","https://openalex.org/W3210794957"],"related_works":["https://openalex.org/W2903896792","https://openalex.org/W4317418868","https://openalex.org/W2012521709","https://openalex.org/W189713034","https://openalex.org/W4313161991","https://openalex.org/W2295619698","https://openalex.org/W2948691285","https://openalex.org/W1999635303","https://openalex.org/W2364958881","https://openalex.org/W4379364347"],"abstract_inverted_index":{"The":[0,45],"indoor":[1,27],"environment":[2],"is":[3,58,73,106,117,123,131,159,169],"much":[4],"more":[5],"complicated":[6],"than":[7],"the":[8,21,26,64,78,83,91,95,100,110,166,176],"outdoor":[9],"environment,":[10],"which":[11],"brings":[12],"huge":[13],"challenges":[14],"to":[15,19,76,90,142,161],"localization.":[16,120],"In":[17,66],"order":[18],"improve":[20],"accuracy":[22],"and":[23,135,147,154,175],"reliability":[24],"of":[25,150],"positioning":[28,35,49,102,111,129,173,188],"system,":[29,68],"we":[30],"propose":[31],"a":[32,59,69,107,127,148],"single-site":[33],"hybrid":[34],"(HP)":[36],"system":[37,46,97,168,184],"based":[38,113],"on":[39,82,114],"LOS":[40,70,79,92,108,125],"recognition":[41,71,93],"in":[42,63],"this":[43,67],"paper.":[44],"adopts":[47],"different":[48,52],"methods":[50],"for":[51,119],"situations":[53],"by":[54],"distinguishing":[55],"whether":[56],"there":[57,105,122],"line-of-sight":[60],"(LOS)":[61],"path":[62,80],"environment.":[65],"algorithm":[72,130],"firstly":[74],"designed":[75],"judge":[77],"depending":[81],"received":[84],"channel":[85],"state":[86],"information":[87],"(CSI).":[88],"According":[89],"result,":[94],"HP":[96,167,183],"adaptively":[98],"selects":[99],"optional":[101],"algorithm.":[103],"When":[104,121],"path,":[109,126],"method":[112],"parameter":[115],"estimation":[116],"applied":[118],"no":[124],"fingerprint-based":[128],"proposed.":[132],"Mean":[133],"filtering":[134],"priciple":[136],"component":[137],"analysis":[138],"(PCA)":[139],"are":[140],"used":[141,160],"do":[143],"data":[144],"dimensionality":[145],"reduction":[146],"combination":[149],"neural":[151],"network":[152],"(NN)":[153],"weighted":[155],"k-nearest":[156],"neighbour":[157],"(WKNN)":[158],"complete":[162],"position":[163],"estimation.":[164],"Finally":[165],"compared":[170],"with":[171],"other":[172],"systems,":[174],"experimental":[177],"results":[178],"show":[179],"that":[180],"our":[181],"proposed":[182],"can":[185],"achieve":[186],"higher":[187],"accuracy.":[189]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}