{"id":"https://openalex.org/W2810466531","doi":"https://doi.org/10.1109/sahcn.2018.8397121","title":"Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks","display_name":"Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2810466531","doi":"https://doi.org/10.1109/sahcn.2018.8397121","mag":"2810466531"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2018.8397121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2018.8397121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5071191374","display_name":"Rui Zhou","orcid":"https://orcid.org/0000-0002-7955-9418"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Zhou","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078359928","display_name":"Meng Hao","orcid":"https://orcid.org/0000-0002-1545-1926"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Hao","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020115105","display_name":"Xiang Lu","orcid":"https://orcid.org/0000-0001-9483-9365"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Lu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006508","display_name":"Mingjie Tang","orcid":"https://orcid.org/0000-0002-8170-5824"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Tang","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051931584","display_name":"Yang Fu","orcid":"https://orcid.org/0000-0003-2711-2558"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Fu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071191374"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":4.2488,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.94759485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9965999722480774,"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":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.8438853025436401},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.8313584327697754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6476236581802368},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6409021019935608},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6165575981140137},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5616278648376465},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5461084842681885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5398752689361572},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46807727217674255},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4575880765914917},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4474051296710968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44514885544776917},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4316824674606323},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.41702523827552795},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.19893980026245117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18766316771507263},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18234872817993164},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.08337518572807312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8438853025436401},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.8313584327697754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6476236581802368},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6409021019935608},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6165575981140137},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5616278648376465},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5461084842681885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5398752689361572},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46807727217674255},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4575880765914917},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4474051296710968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44514885544776917},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4316824674606323},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.41702523827552795},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.19893980026245117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18766316771507263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18234872817993164},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.08337518572807312},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2018.8397121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2018.8397121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1570935779","https://openalex.org/W1673310716","https://openalex.org/W1894623711","https://openalex.org/W1989115430","https://openalex.org/W2002475595","https://openalex.org/W2005059864","https://openalex.org/W2032306167","https://openalex.org/W2124053294","https://openalex.org/W2128190945","https://openalex.org/W2168821867","https://openalex.org/W2172292165","https://openalex.org/W2271840356","https://openalex.org/W2309512289","https://openalex.org/W2340862004","https://openalex.org/W2345276999","https://openalex.org/W2496323672","https://openalex.org/W2508522990","https://openalex.org/W2509382177","https://openalex.org/W2517331439","https://openalex.org/W2524477929","https://openalex.org/W2560305784","https://openalex.org/W2585183952","https://openalex.org/W2591820339","https://openalex.org/W2611241975","https://openalex.org/W2737159091","https://openalex.org/W2739582838","https://openalex.org/W2743415265","https://openalex.org/W2753866421","https://openalex.org/W2764026391","https://openalex.org/W3104396742","https://openalex.org/W6634185882","https://openalex.org/W6637131181","https://openalex.org/W7048544049"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W4386078164","https://openalex.org/W2369356834","https://openalex.org/W2966681114","https://openalex.org/W2553918434","https://openalex.org/W2356023405","https://openalex.org/W3105289658","https://openalex.org/W2188484319"],"abstract_inverted_index":{"Localization":[0],"is":[1,85],"of":[2,8,60,120,160],"key":[3],"importance":[4],"to":[5,16,87,93,125,140],"a":[6,32],"variety":[7],"applications.":[9],"Most":[10],"previous":[11],"approaches":[12],"require":[13],"the":[14,49,65,71,82,89,94,104,110,113,127,130,142,147,156],"objects":[15],"carry":[17],"electronic":[18],"devices,":[19],"while":[20],"on":[21,37],"many":[22],"occasions":[23],"device-free":[24,33],"localization":[25,34],"are":[26],"in":[27,129,146,151],"need.":[28],"This":[29],"paper":[30],"proposes":[31],"method":[35,84,115],"based":[36],"WiFi":[38,61,106],"Channel":[39],"State":[40],"Information":[41],"(CSI)":[42],"and":[43,69,76,108,134,163],"Deep":[44],"Neural":[45],"Networks":[46],"(DNN).":[47],"In":[48],"area":[50],"covered":[51],"with":[52,103,122],"WiFi,":[53],"human":[54],"movements":[55],"may":[56],"cause":[57],"observable":[58],"variations":[59],"signals.":[62],"By":[63],"analyzing":[64],"CSI":[66,74,96,132,148],"fingerprint":[67],"patterns":[68],"modelling":[70],"dependency":[72],"between":[73],"fingerprints":[75,97],"locations":[77,91],"through":[78,98],"deep":[79],"neural":[80],"networks,":[81],"proposed":[83,114],"able":[86],"estimate":[88],"objects'":[90],"according":[92],"measured":[95],"DNN":[99],"regression.":[100],"To":[101],"cope":[102],"noisy":[105],"channels":[107],"remove":[109],"non-contributing":[111],"information,":[112],"applies":[116,135],"Density-Based":[117],"Spatial":[118],"Clustering":[119],"Applications":[121],"Noise":[123],"(DBSCAN)":[124],"reduce":[126],"noise":[128],"raw":[131],"data,":[133],"Principal":[136],"Component":[137],"Analysis":[138],"(PCA)":[139],"extract":[141],"most":[143],"contributing":[144],"information":[145],"data.":[149],"Evaluations":[150],"two":[152],"representative":[153],"scenarios":[154],"achieved":[155],"mean":[157],"distance":[158],"error":[159],"1.08":[161],"m":[162],"1.50":[164],"m,":[165],"respectively.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
