{"id":"https://openalex.org/W2769094067","doi":"https://doi.org/10.1109/tvt.2017.2774103","title":"Hybrid Kernel Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization","display_name":"Hybrid Kernel Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization","publication_year":2017,"publication_date":"2017-11-15","ids":{"openalex":"https://openalex.org/W2769094067","doi":"https://doi.org/10.1109/tvt.2017.2774103","mag":"2769094067"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2017.2774103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2774103","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5101781340","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0001-7113-0249"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7113-0249","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552085","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0002-4804-6206"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4804-6206","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274001","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0002-2967-4039"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["GNSS Research Center, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GNSS Research Center, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374346","display_name":"Yuwei Chen","orcid":"https://orcid.org/0000-0003-0148-3609"},"institutions":[{"id":"https://openalex.org/I33876163","display_name":"Finnish Geospatial Research Institute","ror":"https://ror.org/01zv3gf04","country_code":"FI","type":"facility","lineage":["https://openalex.org/I33876163"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Yuwei Chen","raw_affiliation_strings":["Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Kirkkonummi, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Kirkkonummi, Finland","institution_ids":["https://openalex.org/I33876163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029924052","display_name":"Ruizhi Chen","orcid":"https://orcid.org/0000-0001-6683-2342"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhi Chen","raw_affiliation_strings":["Collaborative Innovation Center for Geospatial Technology, Wuhan, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Geospatial Technology, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334622","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-7083-6001"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Collaborative Innovation Center for Geospatial Technology, Wuhan, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Geospatial Technology, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5767,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.9018668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"67","issue":"3","first_page":"2824","last_page":"2829"},"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":0.991100013256073,"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/T10860","display_name":"Speech and Audio Processing","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/kernel","display_name":"Kernel (algebra)","score":0.6884101033210754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6249203085899353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615420401096344},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.581756591796875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4858655333518982},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.4844829738140106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46147915720939636},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4151570200920105},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.362537145614624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14941978454589844}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6884101033210754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6249203085899353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615420401096344},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.581756591796875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4858655333518982},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.4844829738140106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46147915720939636},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4151570200920105},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.362537145614624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14941978454589844},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2017.2774103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2774103","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1144202260","display_name":"\u65e0\u7ebf\u901a\u4fe1\u7cfb\u7edf\u4e2d\u9ad8\u80fd\u6548MIMO\u534f\u4f5c\u4e2d\u7ee7\u4f20\u8f93\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61372122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2193299633","display_name":null,"funder_award_id":"61302103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8949608642","display_name":"\u9ad8\u6548\u5b9e\u65f6\u7684\u7269\u8054\u7f51\u5b9a\u4f4d\u6280\u672f\u7814\u7a76","funder_award_id":"61771256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W11121682","https://openalex.org/W1591182554","https://openalex.org/W1965347874","https://openalex.org/W2007146523","https://openalex.org/W2011743708","https://openalex.org/W2015725852","https://openalex.org/W2034289529","https://openalex.org/W2045107598","https://openalex.org/W2112019442","https://openalex.org/W2118585731","https://openalex.org/W2135394914","https://openalex.org/W2139410361","https://openalex.org/W2153635508","https://openalex.org/W2161033177","https://openalex.org/W2170102584","https://openalex.org/W2198571464","https://openalex.org/W2326347197","https://openalex.org/W2400336157","https://openalex.org/W2479224257","https://openalex.org/W2517587710","https://openalex.org/W6677656871","https://openalex.org/W6680561749"],"related_works":["https://openalex.org/W1603091392","https://openalex.org/W3123056048","https://openalex.org/W2095626363","https://openalex.org/W4389428786","https://openalex.org/W2364439724","https://openalex.org/W2079825755","https://openalex.org/W4389251307","https://openalex.org/W2420851703","https://openalex.org/W4386075310","https://openalex.org/W2089892314"],"abstract_inverted_index":{"In":[0,22,70],"this":[1],"paper,":[2],"a":[3,16,106],"new":[4],"indoor":[5],"localization":[6,107,134],"algorithm":[7,38,123],"with":[8,64,95],"received":[9,81],"signal":[10],"strength":[11],"indicators":[12],"(RSSI)":[13],"fingerprints":[14],"by":[15,31,48],"kernel-based":[17],"learning":[18,47,63,97],"technique":[19],"is":[20,43,59,88],"proposed.":[21],"the":[23,27,32,40,49,71,76,80,84,102,121],"offline":[24],"phase,":[25,73],"after":[26],"training":[28,57,103],"set":[29,42],"pre-processing":[30],"iterative":[33],"self-organizing":[34],"data":[35],"analysis":[36],"techniques":[37],"(ISODATA),":[39],"measurement-label":[41],"utilized":[44],"for":[45,61,90],"classification":[46,52,77],"c-support":[50],"vector":[51],"approach.":[53],"Moreover,":[54],"each":[55],"measurement-position":[56],"subset":[58],"chosen":[60,89],"regressing":[62],"hybrid":[65],"kernel":[66],"and":[67],"cross-validation":[68],"techniques.":[69],"online":[72],"based":[74],"on":[75],"result":[78],"of":[79,105],"RSSI":[82],"measurement,":[83],"corresponding":[85],"regression":[86],"function":[87],"target":[91],"position":[92,128],"estimation.":[93],"Compared":[94],"existing":[96,132],"techniques,":[98],"it":[99],"can":[100,124],"increase":[101],"ability":[104],"system":[108],"dramatically.":[109],"The":[110],"field":[111],"tests":[112],"show":[113],"that,":[114],"without":[115],"adding":[116],"any":[117],"extra":[118],"computation":[119],"complexity,":[120],"proposed":[122],"obtain":[125],"more":[126],"accurate":[127],"estimation":[129],"than":[130],"other":[131],"learning-based":[133],"approaches":[135],"achieve.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
