{"id":"https://openalex.org/W4396883608","doi":"https://doi.org/10.1587/transfun.2024eap1033","title":"Enhanced Radar Emitter Recognition with Virtual Adversarial Training: A Semi-Supervised Framework","display_name":"Enhanced Radar Emitter Recognition with Virtual Adversarial Training: A Semi-Supervised Framework","publication_year":2024,"publication_date":"2024-05-14","ids":{"openalex":"https://openalex.org/W4396883608","doi":"https://doi.org/10.1587/transfun.2024eap1033"},"language":"en","primary_location":{"id":"doi:10.1587/transfun.2024eap1033","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2024eap1033","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/advpub/0/advpub_2024EAP1033/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.jstage.jst.go.jp/article/transfun/advpub/0/advpub_2024EAP1033/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101196390","display_name":"Ziqin Feng","orcid":null},"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":"Ziqin FENG","raw_affiliation_strings":["College of Education Science and Technology, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Education Science and Technology, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934375","display_name":"Hong Wan","orcid":"https://orcid.org/0000-0002-8752-1735"},"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":"Hong WAN","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"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":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58458111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"E107.A","issue":"9","first_page":"1534","last_page":"1541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9765999913215637,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9491000175476074,"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":0.7644126415252686},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6814626455307007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647240161895752},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5660157203674316},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.556113064289093},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5300115346908569},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4907761514186859},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4602273106575012},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42942821979522705},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4221365451812744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38383933901786804},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13929182291030884},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06953597068786621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644126415252686},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6814626455307007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647240161895752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5660157203674316},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.556113064289093},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5300115346908569},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4907761514186859},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4602273106575012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42942821979522705},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4221365451812744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38383933901786804},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13929182291030884},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06953597068786621},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transfun.2024eap1033","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2024eap1033","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/advpub/0/advpub_2024EAP1033/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transfun.2024eap1033","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2024eap1033","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/advpub/0/advpub_2024EAP1033/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396883608.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2136655611","https://openalex.org/W2138621090","https://openalex.org/W2152790380","https://openalex.org/W2154546490","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2548275288","https://openalex.org/W2555897561","https://openalex.org/W2791522365","https://openalex.org/W2808120435","https://openalex.org/W2888024549","https://openalex.org/W2938144699","https://openalex.org/W2964159205","https://openalex.org/W3003438155","https://openalex.org/W3023365694","https://openalex.org/W3088383832","https://openalex.org/W3107639438","https://openalex.org/W3130063696","https://openalex.org/W3133744637","https://openalex.org/W3138656191","https://openalex.org/W3153070384","https://openalex.org/W3158385995","https://openalex.org/W3164058107","https://openalex.org/W3165528864","https://openalex.org/W3170485195","https://openalex.org/W4205390258","https://openalex.org/W4225385654","https://openalex.org/W4280597937","https://openalex.org/W4287322212","https://openalex.org/W4321636699","https://openalex.org/W4378805027","https://openalex.org/W4387623697"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W3046682795"],"abstract_inverted_index":{"Radar":[0],"emitter":[1,56],"identification":[2,57,74],"(REI)":[3],"is":[4,76,142,152],"a":[5,64,94,100,139,155],"crucial":[6],"function":[7],"of":[8,33,67,83,121],"electronic":[9],"radar":[10,55,69,122,156],"warfare":[11],"support":[12],"systems.":[13],"The":[14,147],"challenge":[15],"emphasizes":[16],"identifying":[17],"and":[18,25,43,87,130],"locating":[19],"unique":[20],"transmitters,":[21],"avoiding":[22],"potential":[23],"threats,":[24],"preparing":[26],"countermeasures.":[27],"Due":[28],"to":[29,116],"the":[30,81,118,162,168],"remarkable":[31],"effectiveness":[32],"deep":[34,46],"learning":[35,102],"(DL)":[36],"in":[37,54,172],"uncovering":[38],"latent":[39],"features":[40,120],"within":[41],"data":[42],"performing":[44],"classifications,":[45],"neural":[47],"networks":[48],"(DNNs)":[49],"have":[50],"seen":[51],"widespread":[52],"application":[53],"(REI).":[58],"In":[59],"many":[60],"real-world":[61],"scenarios,":[62],"obtaining":[63],"large":[65],"number":[66],"annotated":[68],"transmitter":[70],"samples":[71,129],"for":[72,127,135,144],"training":[73,90,108,133],"models":[75],"essential":[77],"yet":[78],"challenging.":[79],"Given":[80],"issues":[82],"insufficient":[84],"labeled":[85,128],"datasets":[86],"abundant":[88],"unlabeled":[89,145],"datasets,":[91],"we":[92],"propose":[93],"novel":[95],"REI":[96],"method":[97,151,166,171],"based":[98],"on":[99,154],"semi-supervised":[101],"(SSL)":[103],"framework":[104],"with":[105],"virtual":[106,131],"adversarial":[107,132],"(VAT).":[109],"Specifically,":[110],"two":[111],"objective":[112],"functions":[113],"are":[114],"designed":[115],"extract":[117],"semantic":[119],"signals:":[123],"computing":[124],"cross-entropy":[125],"loss":[126,134],"all":[136],"samples.":[137,146],"Additionally,":[138],"pseudo-labeling":[140],"approach":[141],"employed":[143],"proposed":[148,163],"VAT-based":[149,164],"SS-REI":[150,165,170],"evaluated":[153],"dataset.":[157],"Simulation":[158],"results":[159],"indicate":[160],"that":[161],"outperforms":[167],"latest":[169],"recognition":[173],"performance.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
