{"id":"https://openalex.org/W3106428744","doi":"https://doi.org/10.1109/access.2020.3037206","title":"Radio Frequency Fingerprint Identification Based on Deep Complex Residual Network","display_name":"Radio Frequency Fingerprint Identification Based on Deep Complex Residual Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3106428744","doi":"https://doi.org/10.1109/access.2020.3037206","mag":"3106428744"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3037206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09253560.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09253560.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087298983","display_name":"Shenhua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenhua Wang","raw_affiliation_strings":["State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084640582","display_name":"Hongliang Jiang","orcid":"https://orcid.org/0000-0002-7892-7215"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Jiang","raw_affiliation_strings":["State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055846324","display_name":"Xiaofang Fang","orcid":"https://orcid.org/0009-0007-5675-6615"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Fang","raw_affiliation_strings":["State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Wuyi County Power Supply Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077655502","display_name":"Yulong Ying","orcid":"https://orcid.org/0000-0002-3867-5893"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Ying","raw_affiliation_strings":["School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3867-5893","affiliations":[{"raw_affiliation_string":"School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695004","display_name":"Jingchao Li","orcid":"https://orcid.org/0000-0003-4338-7084"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchao Li","raw_affiliation_strings":["School of Electronic and Information, Shanghai Dianji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Shanghai Dianji University, Shanghai, China","institution_ids":["https://openalex.org/I4210156189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392823","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-2577-6257"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Kanagawa University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2577-6257","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kanagawa University, Yokohama, Japan","institution_ids":["https://openalex.org/I41802502"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7082,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92250266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"204417","last_page":"204424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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":0.9760000109672546,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.7331401705741882},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.614905834197998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6116765141487122},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6057354807853699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5635841488838196},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5176663994789124},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4425981640815735},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4361402690410614},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4292270243167877},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.41297489404678345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3803104758262634},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22975370287895203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331401705741882},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.614905834197998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6116765141487122},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6057354807853699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5635841488838196},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5176663994789124},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4425981640815735},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4361402690410614},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4292270243167877},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.41297489404678345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3803104758262634},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22975370287895203},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3037206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09253560.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e4528ed9bd044ec9aa3144312a37202","is_oa":true,"landing_page_url":"https://doaj.org/article/2e4528ed9bd044ec9aa3144312a37202","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":"IEEE Access, Vol 8, Pp 204417-204424 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3037206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037206","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09253560.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2126026958","display_name":null,"funder_award_id":"62076160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2566819828","display_name":null,"funder_award_id":"61603239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8240694823","display_name":null,"funder_award_id":"51806135","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3106428744.pdf","grobid_xml":"https://content.openalex.org/works/W3106428744.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1554890178","https://openalex.org/W2038836370","https://openalex.org/W2143572124","https://openalex.org/W2476822002","https://openalex.org/W2562146178","https://openalex.org/W2773170971","https://openalex.org/W2785464388","https://openalex.org/W2791256362","https://openalex.org/W2801519684","https://openalex.org/W2884089434","https://openalex.org/W2900313462","https://openalex.org/W2917612045","https://openalex.org/W2938144699","https://openalex.org/W2954913488","https://openalex.org/W2962848581","https://openalex.org/W2971392577","https://openalex.org/W2971741626","https://openalex.org/W2982504214","https://openalex.org/W2984025449","https://openalex.org/W3088383832","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W1621827506","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711"],"abstract_inverted_index":{"Radio":[0],"frequency":[1,29,94,131,153,170,190],"fingerprint":[2,30,95,132,154,171,191],"identification":[3,157,172,222],"is":[4,62,86,103,139,180,200,216],"a":[5,33,91,127,168],"non-password":[6],"authentication":[7],"method":[8,46,68,173],"based":[9,47,174,234],"on":[10,48,175],"the":[11,16,42,65,75,109,116,147,150,183,188,195,203,221,225],"physical":[12],"layer":[13],"hardware":[14],"of":[15,77,120,163,194,224],"communication":[17,101,110,138,164,196,215,226],"device.":[18],"Deep":[19],"learning":[20,67,129,210],"methods":[21,158],"provide":[22],"new":[23],"ideas":[24],"and":[25,39,58,118,156,206],"techniques":[26],"for":[27,99,136,143,213],"radio":[28,93,130,152,169,189],"identification.":[31],"As":[32],"bridge":[34],"between":[35],"electromagnetic":[36,43,79],"signal":[37,44,80],"recognition":[38,45,96,133,161,204],"deep":[40,71,128,176,184,209],"learning,":[41],"statistical":[49],"constellation":[50,233],"still":[51],"needs":[52],"to":[53,64,107,125],"go":[54],"through":[55],"data":[56,82],"preprocessing":[57],"feature":[59,192],"engineering,":[60],"which":[61,218],"contrary":[63],"end-to-end":[66,208],"emphasized":[69],"by":[70],"learning.":[72],"Moreover,":[73],"in":[74],"process":[76],"converting":[78],"waveform":[81],"into":[83],"images,":[84],"there":[85],"inevitably":[87],"information":[88],"loss.":[89],"Establishing":[90],"universal":[92],"model":[97,121,134,211],"suitable":[98,135,212],"wireless":[100,137,214],"scenarios":[102],"not":[104],"only":[105],"conducive":[106],"optimizing":[108],"system,":[111],"but":[112],"also":[113],"can":[114],"reduce":[115],"cost":[117],"time":[119],"selection.":[122],"Therefore,":[123],"how":[124],"design":[126],"an":[140,207],"important":[141],"problem":[142,148],"researchers.":[144],"Aiming":[145],"at":[146],"that":[149],"existing":[151],"extraction":[155,193],"have":[159],"low":[160],"rate":[162],"radiation":[165,197,227],"source":[166,198,228],"individuals,":[167],"complex":[177,185],"residual":[178,186],"network":[179],"proposed.":[181],"Through":[182],"network,":[187],"individual":[199],"integrated":[201],"with":[202,231],"process,":[205],"established,":[217],"greatly":[219],"improves":[220],"accuracy":[223],"individuals":[229],"compared":[230],"typical":[232],"methods.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
