{"id":"https://openalex.org/W3022241602","doi":"https://doi.org/10.1186/s13638-020-01692-7","title":"Discrete Hopfield neural network based indoor Wi-Fi localization using CSI","display_name":"Discrete Hopfield neural network based indoor Wi-Fi localization using CSI","publication_year":2020,"publication_date":"2020-04-05","ids":{"openalex":"https://openalex.org/W3022241602","doi":"https://doi.org/10.1186/s13638-020-01692-7","mag":"3022241602"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-020-01692-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-020-01692-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-020-01692-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-020-01692-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048800992","display_name":"Xiaochao Dang","orcid":"https://orcid.org/0000-0002-9655-0044"},"institutions":[{"id":"https://openalex.org/I4210088494","display_name":"Gansu Province Computing Center","ror":"https://ror.org/003wq4h14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210088494"]},{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochao Dang","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","Gansu Province Internet of Things Engineering Research Center, Lanzhou, 730070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Gansu Province Internet of Things Engineering Research Center, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I4210088494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032307060","display_name":"Xuhao Tang","orcid":"https://orcid.org/0000-0001-7548-9988"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhao Tang","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083197125","display_name":"Zhanjun Hao","orcid":"https://orcid.org/0000-0002-9740-0988"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]},{"id":"https://openalex.org/I4210088494","display_name":"Gansu Province Computing Center","ror":"https://ror.org/003wq4h14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210088494"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanjun Hao","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","Gansu Province Internet of Things Engineering Research Center, Lanzhou, 730070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Gansu Province Internet of Things Engineering Research Center, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I4210088494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010540579","display_name":"Jiaju Ren","orcid":"https://orcid.org/0000-0002-1898-4541"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaju Ren","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048800992"],"corresponding_institution_ids":["https://openalex.org/I4210088494","https://openalex.org/I68986083"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.1442,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.77824063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2020","issue":"1","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/T10860","display_name":"Speech and Audio Processing","score":0.9975000023841858,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8709787130355835},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.772087574005127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4902384877204895},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.48667484521865845},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4861590564250946},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4665757119655609},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45464643836021423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4533613622188568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44369056820869446},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.437904953956604},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4283193349838257},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4225076735019684},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4199731647968292},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.37166252732276917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28740382194519043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20872431993484497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18632575869560242},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09528613090515137},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08684667944908142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08287063241004944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8709787130355835},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.772087574005127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4902384877204895},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.48667484521865845},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4861590564250946},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4665757119655609},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45464643836021423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4533613622188568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44369056820869446},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.437904953956604},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4283193349838257},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4225076735019684},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4199731647968292},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37166252732276917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28740382194519043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20872431993484497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18632575869560242},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09528613090515137},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08684667944908142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08287063241004944},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-020-01692-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-020-01692-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-020-01692-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:edfb4dd35d924d6d8e29521a01c41fde","is_oa":true,"landing_page_url":"https://doaj.org/article/edfb4dd35d924d6d8e29521a01c41fde","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-16 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-020-01692-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-020-01692-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-020-01692-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1630250305","display_name":null,"funder_award_id":"61762079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2128070264","display_name":null,"funder_award_id":"61662070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5380501851","display_name":null,"funder_award_id":"17YF1GA015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6968488878","display_name":null,"funder_award_id":"1604FKCA097","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022241602.pdf","grobid_xml":"https://content.openalex.org/works/W3022241602.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1585879837","https://openalex.org/W1984099223","https://openalex.org/W1994961964","https://openalex.org/W2024844327","https://openalex.org/W2044846595","https://openalex.org/W2054642006","https://openalex.org/W2095396347","https://openalex.org/W2100989187","https://openalex.org/W2124139103","https://openalex.org/W2126300356","https://openalex.org/W2135394914","https://openalex.org/W2143228105","https://openalex.org/W2145096826","https://openalex.org/W2170102584","https://openalex.org/W2240192984","https://openalex.org/W2340862004","https://openalex.org/W2345276999","https://openalex.org/W2397693966","https://openalex.org/W2517331439","https://openalex.org/W2526606216","https://openalex.org/W2549177157","https://openalex.org/W2599936006","https://openalex.org/W2607176470","https://openalex.org/W2739026601","https://openalex.org/W2740183316","https://openalex.org/W2743415265","https://openalex.org/W2764026391","https://openalex.org/W2769454157","https://openalex.org/W2792312025","https://openalex.org/W2807582929","https://openalex.org/W2889178137","https://openalex.org/W2889359486","https://openalex.org/W2911864116","https://openalex.org/W2914397179","https://openalex.org/W2937031311","https://openalex.org/W2938514801","https://openalex.org/W2939097861","https://openalex.org/W2950821050","https://openalex.org/W2952979195","https://openalex.org/W2971601803","https://openalex.org/W3151799466","https://openalex.org/W6601141708","https://openalex.org/W6635170509"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2376969857","https://openalex.org/W2949601986","https://openalex.org/W614679600","https://openalex.org/W2110252992","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2365309764","https://openalex.org/W2025635845"],"abstract_inverted_index":{"Abstract":[0],"The":[1,68,204],"fingerprint":[2,33,56,93,108,120,142,147,155,175],"indoor":[3,57,129],"localization":[4,24,28,58,184,200,210],"method":[5,18,59,69,225],"based":[6,60],"on":[7,61,91],"channel":[8],"state":[9],"information":[10,94,185],"(CSI)":[11],"has":[12,235],"gained":[13],"widespread":[14],"attention.":[15],"However,":[16],"this":[17,51,115],"fails":[19],"to":[20,31,42,47,86,105,161,192],"provide":[21],"a":[22,54,81,88,213,236],"better":[23],"effect":[25,134],"and":[26,37,40,74,99,132,247],"higher":[27,237],"accuracy":[29,211],"due":[30],"poor":[32],"accuracy,":[34],"unsatisfactory":[35],"classification":[36],"matching":[38],"effect,":[39],"vulnerability":[41],"environmental":[43,130],"impacts.":[44],"In":[45,114],"order":[46],"solve":[48],"the":[49,62,78,92,107,117,141,145,158,163,167,174,183,187,199,209,223,227,243],"problem,":[50],"paper":[52],"proposes":[53],"CSI":[55],"Discrete":[63],"Hopfield":[64],"Neural":[65],"Network":[66],"(DHNN).":[67],"mainly":[70],"consists":[71],"of":[72,95,110,119,135,165,169,186,216,245],"off-line":[73,79],"on-line":[75,159],"phases.":[76],"At":[77,157],"phase,":[80,160],"low-pass":[82],"filter":[83],"is":[84,103,122,149,177,190,202],"applied":[85],"conduct":[87],"preliminary":[89],"processing":[90],"each":[96,170],"reference":[97,112,171],"point,":[98],"then,":[100],"phase":[101],"difference":[102],"adopted":[104],"correct":[106],"data":[109,121,168],"all":[111],"points.":[113],"way,":[116],"quality":[118],"improved,":[123],"hence":[124],"avoiding":[125],"problems":[126],"such":[127],"as":[128,179],"changes":[131],"multipath":[133],"signals,":[136],"etc.":[137],"in":[138,173,226],"which":[139,239],"impact":[140],"data.":[143,156],"Finally,":[144],"characteristic":[146],"database":[148,176],"established":[150],"after":[151],"acquiring":[152],"relatively":[153],"accurate":[154],"maintain":[162],"consistency":[164],"data,":[166],"point":[172,189],"set":[178],"an":[180],"attractor.":[181],"Meanwhile,":[182],"test":[188],"processed":[191],"make":[193],"convergence":[194],"judgment":[195],"through":[196,222],"DHNN.":[197],"Eventually,":[198],"result":[201],"obtained.":[203],"experimental":[205,228],"results":[206],"show":[207],"that":[208],"with":[212,231],"median":[214],"error":[215],"1.6":[217],"m":[218],"can":[219,240],"be":[220],"achieved":[221],"proposed":[224],"environment.":[229],"Compared":[230],"similar":[232],"methods,":[233],"it":[234],"stability":[238],"significantly":[241],"reduce":[242],"cost":[244],"manpower":[246],"time.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}