{"id":"https://openalex.org/W4317419374","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012910","title":"A Novel Semi-Supervised Learning Framework for Specific Emitter Identification","display_name":"A Novel Semi-Supervised Learning Framework for Specific Emitter Identification","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317419374","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012910"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10012910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012910","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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/A5036456471","display_name":"Xue Fu","orcid":"https://orcid.org/0000-0001-9518-4081"},"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":"Xue Fu","raw_affiliation_strings":["NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017851308","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-7763-4261"},"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":"Yu Wang","raw_affiliation_strings":["NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778980","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-4002-1282"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["Harbin Engineering University,College of Information and Communication Engineering,Harbin,China","College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,College of Information and Communication Engineering,Harbin,China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018639377","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0001-7428-4980"},"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":"Guan Gui","raw_affiliation_strings":["NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","College of Telecommunications and Information Engineering, NJUPT, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"NJUPT,College of Telecommunications and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026448728","display_name":"Haris Gacanin","orcid":"https://orcid.org/0000-0003-3168-8883"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haris Gacanin","raw_affiliation_strings":["RWTH Aachen University,Institute for Communication Technologies and Embedded Systems,Aachen,Germany","Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Institute for Communication Technologies and Embedded Systems,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011281064","display_name":"Fumiyuki Adachi","orcid":"https://orcid.org/0000-0002-5416-0718"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumiyuki Adachi","raw_affiliation_strings":["Tohoku University,International Research Institute of Disaster Science (IRIDeS),Sendai,Japan","International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University,International Research Institute of Disaster Science (IRIDeS),Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036456471"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77240896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9735000133514404,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7769254446029663},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7269020080566406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890008449554443},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5617294907569885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5532981157302856},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.5426666140556335},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47947415709495544},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47692129015922546},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44737422466278076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43758901953697205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4352375268936157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09051939845085144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769254446029663},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7269020080566406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890008449554443},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5617294907569885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5532981157302856},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.5426666140556335},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47947415709495544},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47692129015922546},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44737422466278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43758901953697205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4352375268936157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09051939845085144},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10012910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012910","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1906707745","https://openalex.org/W1917532482","https://openalex.org/W1945616565","https://openalex.org/W1972973610","https://openalex.org/W2111406701","https://openalex.org/W2130671348","https://openalex.org/W2187089797","https://openalex.org/W2520774990","https://openalex.org/W2791256362","https://openalex.org/W2891054065","https://openalex.org/W2922706279","https://openalex.org/W2943484928","https://openalex.org/W2945217752","https://openalex.org/W2954992643","https://openalex.org/W2964159205","https://openalex.org/W2964218010","https://openalex.org/W2996730556","https://openalex.org/W3016146955","https://openalex.org/W3023365694","https://openalex.org/W3093222659","https://openalex.org/W3138656191","https://openalex.org/W3170485195","https://openalex.org/W3176469059","https://openalex.org/W3205971195","https://openalex.org/W4205273399","https://openalex.org/W4205390258","https://openalex.org/W4285179867","https://openalex.org/W6640425456","https://openalex.org/W6726946684","https://openalex.org/W6734641875","https://openalex.org/W6802304498","https://openalex.org/W6805353661","https://openalex.org/W6839572841"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W3048601286","https://openalex.org/W2965925734","https://openalex.org/W3046682795"],"abstract_inverted_index":{"Specific":[0],"emitter":[1],"identification":[2,169],"(SEI)":[3],"is":[4,146],"developed":[5],"as":[6],"a":[7,27,88,167],"potential":[8],"technology":[9],"against":[10],"attackers":[11],"in":[12,19,53,72],"cognitive":[13],"radio":[14,42,139],"networks":[15,66],"and":[16,60,81,115,124,134],"authenticate":[17],"devices":[18],"Internet":[20],"of":[21,49,58,138],"Things":[22],"(IoT).":[23],"It":[24],"refers":[25],"to":[26,29,45,131],"process":[28],"discriminate":[30],"individual":[31],"emitters":[32],"from":[33,40],"each":[34],"other":[35],"by":[36],"analyzing":[37],"extracted":[38],"characteristics":[39],"given":[41],"signals.":[43,140],"Due":[44],"the":[46,55,73,76,163],"strong":[47],"capability":[48],"deep":[50,64,111],"learning":[51,95,113],"(DL)":[52],"extracting":[54],"hidden":[56],"features":[57,137],"data":[59],"making":[61],"classification":[62],"decision,":[63],"neural":[65],"(DNNs)":[67],"have":[68],"been":[69],"widely":[70],"used":[71],"SEI.":[74],"Considering":[75],"insufficiently":[77],"labeled":[78],"training":[79,84,99,122],"dataset":[80],"large":[82],"unlabeled":[83],"dataset,":[85],"we":[86],"propose":[87],"novel":[89],"SEI":[90],"method":[91,145,165],"using":[92],"semi-supervised":[93],"(SS)":[94],"framework,":[96],"i.e.,":[97],"metric-adversarial":[98],"(MAT).":[100],"Specifically,":[101],"two":[102],"object":[103],"functions":[104],"(i.e.,":[105],"cross-entropy":[106],"(CE)":[107],"loss":[108,117],"combined":[109,118],"with":[110,119],"metric":[112],"(DML)":[114],"CE":[116],"virtual":[120],"adversarial":[121],"(VAT))":[123],"an":[125,149],"alternating":[126],"optimization":[127],"way":[128],"are":[129],"designed":[130],"extract":[132],"discriminative":[133],"generalized":[135],"semantic":[136],"The":[141,158],"proposed":[142,164],"MAT-based":[143],"SS-SEI":[144,174],"evaluated":[147],"on":[148],"open":[150],"source":[151],"large-scale":[152],"real-world":[153],"automatic-dependent":[154],"surveillance-broadcast":[155],"(ADS-B)":[156],"dataset.":[157],"simulation":[159],"results":[160],"show":[161],"that":[162],"achieves":[166],"better":[168],"performance":[170],"than":[171],"four":[172],"latest":[173],"methods.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}