{"id":"https://openalex.org/W3183163127","doi":"https://doi.org/10.3103/s0146411621030056","title":"Indoor Localization Algorithm of Terminal Based on RSS Feature Extension and Spectral Regression Kernel Discriminant Analysis","display_name":"Indoor Localization Algorithm of Terminal Based on RSS Feature Extension and Spectral Regression Kernel Discriminant Analysis","publication_year":2021,"publication_date":"2021-05-01","ids":{"openalex":"https://openalex.org/W3183163127","doi":"https://doi.org/10.3103/s0146411621030056","mag":"3183163127"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411621030056","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621030056","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5047224270","display_name":"Huaichao Wang","orcid":"https://orcid.org/0000-0003-2227-2368"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]},{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaichao Wang","raw_affiliation_strings":["Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China","Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), 350121, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), 350121, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064540523","display_name":"Jianli Ding","orcid":"https://orcid.org/0000-0001-9329-9424"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianli Ding","raw_affiliation_strings":["Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047449522","display_name":"Tao Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Mu","raw_affiliation_strings":["Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University Civil Aviation University of China, 300300, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681999","display_name":"Xinwei Chen","orcid":"https://orcid.org/0000-0001-7623-4610"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), 350121, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), 350121, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047224270"],"corresponding_institution_ids":["https://openalex.org/I28813325","https://openalex.org/I354108"],"apc_list":null,"apc_paid":null,"fwci":0.6016,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66654397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"55","issue":"3","first_page":"298","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6742103099822998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161189079284668},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5834578275680542},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.555609941482544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5494916439056396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5388407707214355},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5313278436660767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5272892117500305},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5053896903991699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4778551757335663},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.4257957339286804},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4114738702774048},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.35670965909957886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3039408028125763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18245938420295715}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6742103099822998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161189079284668},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5834578275680542},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.555609941482544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5494916439056396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5388407707214355},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5313278436660767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5272892117500305},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5053896903991699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4778551757335663},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.4257957339286804},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4114738702774048},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.35670965909957886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3039408028125763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18245938420295715},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411621030056","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621030056","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1570990617","https://openalex.org/W2085044339","https://openalex.org/W2170102584","https://openalex.org/W2397693966","https://openalex.org/W2418090752","https://openalex.org/W2507274197","https://openalex.org/W2610455124","https://openalex.org/W2755879967","https://openalex.org/W2794105321","https://openalex.org/W2964029185","https://openalex.org/W2979017392"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W2386228546","https://openalex.org/W2086055175","https://openalex.org/W2365801610","https://openalex.org/W2388048830","https://openalex.org/W2150796457","https://openalex.org/W2566759662","https://openalex.org/W2016459271","https://openalex.org/W2788610776","https://openalex.org/W2129407254"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,9,16,39,42,53,56,59,63,80,90,107,120,127,135,148,156,161,166],"characteristics":[3],"of":[4,82,89,126],"large":[5,171],"passenger":[6,172],"flow":[7,173],"and":[8,11,30,58,62,132,159,174],"complex":[10,167],"variable":[12],"indoor":[13,20,162],"environment":[14,169],"in":[15,150,165],"airport":[17],"terminal,":[18],"an":[19],"localization":[21,163],"algorithm":[22,98,140,149],"based":[23,70],"on":[24,71,79],"Received":[25,64],"Signal":[26,65],"Strength":[27,66],"feature":[28,103,125],"extension":[29],"Spectral":[31,74,110,122],"Regression":[32,75,111,123],"Kernel":[33,83,112,124],"Discriminant":[34,84,113],"Analysis":[35,114],"is":[36,49,77],"proposed.":[37],"In":[38],"offline":[40],"phase,":[41],"Least":[43],"Square-Support":[44],"Vector":[45],"Machine":[46],"regression":[47],"model":[48],"used":[50,117],"to":[51,99,118,129],"estimate":[52],"distance":[54],"between":[55],"terminal":[57,168],"Access":[60],"Point,":[61],"features":[67,88],"are":[68],"extended":[69,121],"this.":[72],"The":[73,86],"framework":[76],"introduced":[78],"basis":[81],"Analysis.":[85],"non-linear":[87],"Original":[91],"Location":[92],"Fingerprint":[93],"were":[94],"extracted":[95],"by":[96],"this":[97,151],"generate":[100],"a":[101],"new":[102],"fingerprint":[104],"dataset.":[105],"During":[106],"online":[108],"stage,":[109],"was":[115],"firstly":[116],"process":[119],"point":[128],"be":[130],"positioned,":[131],"then":[133],"use":[134],"weighted":[136],"K":[137],"nearest":[138],"neighbor":[139],"for":[141],"position":[142],"estimation.":[143],"Experimental":[144],"results":[145],"show":[146],"that":[147],"paper":[152],"can":[153],"effectively":[154],"reduce":[155],"average":[157],"error":[158],"improve":[160],"accuracy":[164],"with":[170],"non-line-of-sight":[175],"environment.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}