{"id":"https://openalex.org/W4413270942","doi":"https://doi.org/10.1109/tifs.2025.3586503","title":"Knowledge Driven Signal Transformer for Emitter Recognition","display_name":"Knowledge Driven Signal Transformer for Emitter Recognition","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413270942","doi":"https://doi.org/10.1109/tifs.2025.3586503"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3586503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3586503","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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":null,"display_name":"Shurong Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shurong Ren","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4796-5737","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113361730","display_name":"Mengyao Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyao Zhan","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009440848","display_name":"Zhipeng Qi","orcid":"https://orcid.org/0009-0000-8809-933X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoyue Qi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053487344","display_name":"Zhixi Feng","orcid":"https://orcid.org/0000-0002-7372-9180"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixi Feng","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-7372-9180","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85411684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"20","issue":null,"first_page":"7724","last_page":"7735"},"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9110000133514404,"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":0.7271690368652344},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47950106859207153},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4336109161376953},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38128548860549927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3554067015647888},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3518802523612976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34290820360183716},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.22832044959068298},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.20991063117980957},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.19071370363235474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11168506741523743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271690368652344},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47950106859207153},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4336109161376953},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38128548860549927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3554067015647888},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3518802523612976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34290820360183716},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.22832044959068298},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.20991063117980957},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.19071370363235474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11168506741523743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3586503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3586503","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1560732540","display_name":null,"funder_award_id":"62276205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5498747354","display_name":null,"funder_award_id":"U22B2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6986719856","display_name":null,"funder_award_id":"62171357","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":61,"referenced_works":["https://openalex.org/W1917532482","https://openalex.org/W2272847350","https://openalex.org/W2765161047","https://openalex.org/W2772387500","https://openalex.org/W2895967125","https://openalex.org/W2907410281","https://openalex.org/W2938144699","https://openalex.org/W2963809753","https://openalex.org/W2965322655","https://openalex.org/W2967890989","https://openalex.org/W2969249912","https://openalex.org/W2995089893","https://openalex.org/W3007071731","https://openalex.org/W3008364176","https://openalex.org/W3009816315","https://openalex.org/W3010551061","https://openalex.org/W3015448029","https://openalex.org/W3025784200","https://openalex.org/W3036818015","https://openalex.org/W3047279638","https://openalex.org/W3049287738","https://openalex.org/W3089238458","https://openalex.org/W3095910127","https://openalex.org/W3106709164","https://openalex.org/W3134329288","https://openalex.org/W3136322890","https://openalex.org/W3138656191","https://openalex.org/W3153070384","https://openalex.org/W3165405144","https://openalex.org/W3176020692","https://openalex.org/W3181667991","https://openalex.org/W3194740358","https://openalex.org/W3203626883","https://openalex.org/W3205971195","https://openalex.org/W3216768008","https://openalex.org/W4205516449","https://openalex.org/W4225517134","https://openalex.org/W4225816397","https://openalex.org/W4226327168","https://openalex.org/W4289821916","https://openalex.org/W4293195393","https://openalex.org/W4308529607","https://openalex.org/W4312891664","https://openalex.org/W4319069155","https://openalex.org/W4324325022","https://openalex.org/W4360995354","https://openalex.org/W4365420380","https://openalex.org/W4368232854","https://openalex.org/W4379983761","https://openalex.org/W4380319195","https://openalex.org/W4382468330","https://openalex.org/W4385453150","https://openalex.org/W4386495285","https://openalex.org/W4387449694","https://openalex.org/W4387623697","https://openalex.org/W4390187673","https://openalex.org/W4390787945","https://openalex.org/W4393160050","https://openalex.org/W4400076000","https://openalex.org/W4400679842","https://openalex.org/W4404130056"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4310420093","https://openalex.org/W3154635860","https://openalex.org/W4226332880","https://openalex.org/W4298054035","https://openalex.org/W4200631625","https://openalex.org/W1921169094","https://openalex.org/W4226138400","https://openalex.org/W366410996","https://openalex.org/W2864363823"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"neural":[2],"networks":[3],"(DNNs)":[4],"based":[5],"emitter":[6,55,104],"recognition":[7,56],"or":[8],"identification":[9,137],"has":[10],"received":[11],"increasing":[12],"interest.":[13],"However,":[14],"most":[15],"of":[16,26,84,114,129,152,161,172],"them":[17],"are":[18,144],"purely":[19],"data-driven":[20],"and":[21,79,97,146,168],"require":[22],"a":[23,32,48,66,169],"large":[24],"number":[25,171],"labeled":[27,173],"instances.":[28,174],"In":[29],"this":[30],"paper,":[31],"new":[33],"Knowledge":[34],"Driven":[35],"Signal":[36],"Transformer":[37,50,69],"(KDSiT)":[38],"is":[39],"proposed,":[40],"which":[41],"introduces":[42,91],"the":[43,61,73,81,87,109,117,136,147,150,159],"knowledge":[44,105],"graph":[45],"(KG)":[46],"into":[47],"signal":[49],"(ST)":[51],"model":[52],"for":[53],"accurate":[54],"in":[57,77,121,139,158],"real-world":[58],"scenarios.":[59],"On":[60,86],"one":[62],"hand,":[63,89],"KDSiT":[64,90,123,153],"use":[65],"unified":[67],"multimodal":[68,132],"structure":[70],"to":[71,134],"explore":[72],"latent":[74],"long-range":[75],"dependencies":[76],"signals,":[78,167],"capture":[80],"subtle":[82],"differences":[83],"emitters.":[85],"other":[88],"domain":[92],"knowledge,":[93],"such":[94],"as":[95],"relationships":[96],"attributes":[98],"between":[99],"emitters,":[100],"by":[101],"constructing":[102],"an":[103],"graph.":[106],"By":[107],"combining":[108],"powerful":[110],"feature":[111],"learning":[112],"capability":[113],"DNNs":[115],"with":[116],"rich":[118],"semantic":[119],"information":[120],"KG,":[122],"can":[124],"extract":[125],"more":[126],"discriminative":[127],"features":[128],"emitters":[130],"from":[131],"learning,":[133],"improve":[135],"accuracy":[138],"degraded":[140],"environments.":[141],"Extensive":[142],"experiments":[143],"conducted,":[145],"results":[148],"prove":[149],"superiority":[151],"over":[154],"its":[155],"counterparts,":[156],"especially":[157],"case":[160],"low":[162],"signal-to-noise":[163],"ratio":[164],"(SNR),":[165],"incomplete":[166],"limited":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}