{"id":"https://openalex.org/W4385362849","doi":"https://doi.org/10.1109/cits58301.2023.10188808","title":"A Transfer Learning Based CSI Indoor Localization Using GASF Image Construction","display_name":"A Transfer Learning Based CSI Indoor Localization Using GASF Image Construction","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4385362849","doi":"https://doi.org/10.1109/cits58301.2023.10188808"},"language":"en","primary_location":{"id":"doi:10.1109/cits58301.2023.10188808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits58301.2023.10188808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-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/A5000577626","display_name":"Xuewen Xiao","orcid":null},"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":true,"raw_author_name":"Xuewen Xiao","raw_affiliation_strings":["College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications,Nanjing,China","College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"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":"last","author":{"id":"https://openalex.org/A5011227147","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0002-9967-3912"},"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","College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000577626"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42877464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"07"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7852960228919983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720137000083923},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5912344455718994},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5756120085716248},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5722849369049072},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5451265573501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47485876083374023},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.45236557722091675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42998793721199036},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4297757148742676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4212642014026642},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4175295829772949},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1447339653968811},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07896971702575684},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.07048934698104858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852960228919983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720137000083923},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5912344455718994},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5756120085716248},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5722849369049072},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5451265573501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47485876083374023},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45236557722091675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42998793721199036},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4297757148742676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4212642014026642},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4175295829772949},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1447339653968811},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07896971702575684},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.07048934698104858},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cits58301.2023.10188808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits58301.2023.10188808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computer, Information and Telecommunication Systems (CITS)","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":16,"referenced_works":["https://openalex.org/W1980116392","https://openalex.org/W1984105319","https://openalex.org/W2049352716","https://openalex.org/W2088903896","https://openalex.org/W2129572797","https://openalex.org/W2131575814","https://openalex.org/W2763434559","https://openalex.org/W2832604869","https://openalex.org/W2894509708","https://openalex.org/W2908296990","https://openalex.org/W2913769618","https://openalex.org/W2920884871","https://openalex.org/W3040475403","https://openalex.org/W3209299684","https://openalex.org/W4200107372","https://openalex.org/W4360997045"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"When":[0],"the":[1,8,57,66,80,101,105,117,121,125,130,146,153,164,177],"indoor":[2,30],"environment":[3],"changes,":[4],"how":[5],"to":[6,48,78,115],"reduce":[7,54,176],"channel":[9],"state":[10],"information":[11,62],"(CSI)":[12],"measurement":[13],"collection":[14],"for":[15],"off-line":[16],"training":[17,116,178],"has":[18],"received":[19],"much":[20],"attentions.":[21],"In":[22,124],"this":[23],"paper,":[24],"a":[25,94],"transfer":[26],"learning":[27],"based":[28],"CSI":[29,51,60,68,83,98,138,149],"localization":[31,118,156,172],"using":[32],"Gram's":[33],"corner":[34],"field":[35],"(GASF)":[36],"image":[37,69,84],"construction":[38],"is":[39,46,63,76,86,113,158],"proposed.":[40],"The":[41,73],"density-based":[42],"clustering":[43],"algorithm":[44,92,166],"(DBSCAN)":[45],"proposed":[47,91,165],"remove":[49],"abnormal":[50],"measurements":[52],"and":[53,104],"noise.":[55],"Then,":[56],"sequence":[58],"of":[59,97,134,137],"amplitude":[61],"transformed":[64],"into":[65],"gray":[67],"by":[70,145],"GASF":[71],"method.":[72],"linear":[74],"mapping":[75],"used":[77,87,114],"form":[79],"final":[81],"color":[82],"which":[85],"as":[88],"fingerprint.":[89],"This":[90],"collects":[93],"large":[95],"number":[96,136],"signals":[99],"in":[100,120],"source":[102,122],"domain,":[103],"convolutional":[106],"neural":[107],"network":[108],"(CNN)":[109],"with":[110],"attention":[111],"mechanism":[112],"model":[119,141,157],"domain.":[123],"target":[126,147,154],"domain":[127,148,155],"training,":[128],"after":[129],"same":[131],"data":[132],"preprocessing":[133],"small":[135],"measurements,":[139],"some":[140],"parameters":[142],"are":[143],"fine-tuned":[144],"image.":[150],"At":[151],"last,":[152],"obtained.":[159],"Experimental":[160],"results":[161],"show":[162],"that":[163],"can":[167],"not":[168],"only":[169],"achieve":[170],"high-precision":[171],"performance,":[173],"but":[174],"also":[175],"time.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
