{"id":"https://openalex.org/W4400277665","doi":"https://doi.org/10.1109/wcnc57260.2024.10570605","title":"A Robust Radio Frequency Fingerprint Extraction Method Based on Channel Reciprocity","display_name":"A Robust Radio Frequency Fingerprint Extraction Method Based on Channel Reciprocity","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400277665","doi":"https://doi.org/10.1109/wcnc57260.2024.10570605"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101300466","display_name":"Bingshu Dong","orcid":"https://orcid.org/0000-0001-8001-3976"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingshu Dong","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075678549","display_name":"Aiqun Hu","orcid":"https://orcid.org/0000-0002-0398-4899"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqun Hu","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783267","display_name":"Jiabao Yu","orcid":"https://orcid.org/0000-0003-4932-5239"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabao Yu","raw_affiliation_strings":["The Purple Mountain Laboratories for Network and Communication Security,Nanjing,China,211111"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Purple Mountain Laboratories for Network and Communication Security,Nanjing,China,211111","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738448","display_name":"Hongxia Chen","orcid":"https://orcid.org/0000-0001-6873-6979"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongxia Chen","raw_affiliation_strings":["Innovation Institute, Huaxin Consulting and Designing Institute Co., Ltd,Hangzhou,China,310000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Institute, Huaxin Consulting and Designing Institute Co., Ltd,Hangzhou,China,310000","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106407656","display_name":"Zhiyi Shi","orcid":"https://orcid.org/0009-0006-6866-784X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyi Shi","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University,Nanjing,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University,Nanjing,China,211189","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9977999925613403,"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/T10860","display_name":"Speech and Audio Processing","score":0.9753999710083008,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.7012535333633423},{"id":"https://openalex.org/keywords/reciprocity","display_name":"Reciprocity (cultural anthropology)","score":0.6247394680976868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234138011932373},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.583923876285553},{"id":"https://openalex.org/keywords/radio-channel","display_name":"Radio channel","score":0.5249089002609253},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5234267711639404},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4244455397129059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29237133264541626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20826935768127441},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0775848925113678}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7012535333633423},{"id":"https://openalex.org/C169903001","wikidata":"https://www.wikidata.org/wiki/Q3264987","display_name":"Reciprocity (cultural anthropology)","level":2,"score":0.6247394680976868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234138011932373},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.583923876285553},{"id":"https://openalex.org/C2988879021","wikidata":"https://www.wikidata.org/wiki/Q273623","display_name":"Radio channel","level":3,"score":0.5249089002609253},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5234267711639404},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4244455397129059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29237133264541626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20826935768127441},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0775848925113678},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10570605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7278878345","display_name":null,"funder_award_id":"62171120","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2082823623","https://openalex.org/W2467825424","https://openalex.org/W2890720923","https://openalex.org/W2913860854","https://openalex.org/W2919720498","https://openalex.org/W2938144699","https://openalex.org/W2966736488","https://openalex.org/W2984025449","https://openalex.org/W3047279638","https://openalex.org/W3122999500","https://openalex.org/W3207020621","https://openalex.org/W4210814219","https://openalex.org/W4312681730","https://openalex.org/W4317418952"],"related_works":["https://openalex.org/W3121820748","https://openalex.org/W164043708","https://openalex.org/W1734862528","https://openalex.org/W3124926124","https://openalex.org/W2067711064","https://openalex.org/W2138015815","https://openalex.org/W2068982824","https://openalex.org/W1984513274","https://openalex.org/W1491850760","https://openalex.org/W2049287852"],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"Fingerprint":[2],"(RFF)":[3],"identification":[4,12],"is":[5,24,120,149,169],"a":[6,25,37,45,60,134,152,162],"promising":[7],"technique":[8],"for":[9],"physical":[10],"layer":[11],"that":[13,74,91,98],"can":[14],"enhance":[15],"wireless":[16,21],"security.":[17],"However,":[18],"interference":[19],"of":[20,67,147],"channel":[22,55,76,80,113],"characteristics":[23],"key":[26],"challenge":[27],"hindering":[28],"its":[29],"robustness.":[30],"To":[31],"solve":[32],"this":[33],"problem,":[34],"we":[35,43,58],"propose":[36,59],"channel-robust":[38],"RFF":[39,62,101],"extraction":[40,63],"method.":[41],"First,":[42],"design":[44],"challenge-response":[46],"mechanism-based":[47],"framework":[48],"to":[49,78,112],"satisfy":[50],"the":[51,68,84,87,99,125,143,156,165],"uplink":[52],"and":[53,106,109,115],"downlink":[54],"reciprocity.":[56],"Then,":[57],"novel":[61],"method":[64],"named":[65],"Quotient":[66],"Estimated":[69],"Channel":[70],"State":[71],"Information":[72],"(QoECSI)":[73],"exploits":[75],"reciprocity":[77],"eliminate":[79],"effects.":[81],"We":[82],"implemented":[83],"QoECSI":[85],"with":[86,138],"ESP32":[88],"development":[89],"kits":[90],"support":[92],"2.4GHz":[93],"Wi-Fi,":[94],"Experimental":[95],"results":[96],"show":[97],"extracted":[100],"features":[102],"have":[103],"high":[104],"discrimination":[105],"long-term":[107],"stability,":[108],"are":[110],"robust":[111],"variations":[114],"noise.":[116],"The":[117],"accuracy":[118,146,168],"rate":[119],"higher":[121],"than":[122],"98%":[123],"when":[124],"Signal-to-Noise":[126],"Ratio":[127],"(SNR)":[128],"exceeds":[129],"25":[130],"dB.":[131],"Specifically,":[132],"in":[133],"Non-Line-of-Sight":[135],"(NLOS)":[136],"scenario":[137,154],"SNR":[139],"=":[140],"35":[141],"dB,":[142],"average":[144],"recognition":[145],"cross-validation":[148],"98.56%.":[150],"In":[151],"dynamic":[153],"where":[155],"terminal":[157],"moves":[158],"slowly":[159],"indoors":[160],"along":[161],"fixed":[163],"route,":[164],"highest":[166],"cross-time-validation":[167],"98.57%.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
