{"id":"https://openalex.org/W4414647760","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174426","title":"Robust Few-Shot Specific Emitter Identification Using Multi-View Feature Fusion with Attention","display_name":"Robust Few-Shot Specific Emitter Identification Using Multi-View Feature Fusion with Attention","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4414647760","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174426"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2025-spring65109.2025.11174426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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/A5101303667","display_name":"Gaoli Yan","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":"Gaoli Yan","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"],"raw_orcid":null,"affiliations":[{"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/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":false,"raw_author_name":"Xue Fu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"],"raw_orcid":null,"affiliations":[{"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":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"],"raw_orcid":null,"affiliations":[{"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,Faculty of Electrical Engineering and Information Technology,Aachen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087599025","display_name":"Hikmet Sari","orcid":"https://orcid.org/0000-0001-8114-6164"},"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":"Hikmet Sari","raw_affiliation_strings":["College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","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, NJUPT,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22950735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9854999780654907,"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":0.9854999780654907,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9419000148773193,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/robustness","display_name":"Robustness (evolution)","score":0.8525000214576721},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5982999801635742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4465999901294708},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4180999994277954},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3984000086784363},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3837999999523163}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8525000214576721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008000016212463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947000026702881},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5982999801635742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4032000005245209},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3984000086784363},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28839999437332153},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtc2025-spring65109.2025.11174426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:1033113","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/1033113","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring) : proceedings : Oslo, Norway, 17 - 20 June 2025 / [IEEE Vehicular Technology Society (VTS)] ; general co-chairs: Jan Zhang (University of Oslo, Norway), Olav Lysne (OsloMet/SimulaMet, Norway), Sabita Majarjan (University of Oslo, Norway)<br/>101. IEEE Vehicular Technology Conference, VTC 2025-Spring, Oslo, Norway, 2025-06-17 - 2025-06-20","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2024753100","https://openalex.org/W2118151299","https://openalex.org/W2194775991","https://openalex.org/W2778178255","https://openalex.org/W3004340854","https://openalex.org/W3178180748","https://openalex.org/W3205971195","https://openalex.org/W3217401178","https://openalex.org/W4311080746","https://openalex.org/W4313058975","https://openalex.org/W4365420380","https://openalex.org/W4385153825","https://openalex.org/W4386495285","https://openalex.org/W4387623697","https://openalex.org/W4390787945","https://openalex.org/W4391742368"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprinting":[2],"(RFF)":[3],"presents":[4],"a":[5,66],"promising":[6],"solution":[7],"for":[8,18,94,136],"advancing":[9],"specific":[10],"emitter":[11],"identification":[12,103,128],"(SEI)":[13],"methods,":[14],"which":[15,42],"are":[16,43],"crucial":[17],"securing":[19],"the":[20,54,98,113,116],"Internet":[21],"of":[22,56,115],"Things":[23],"(IoT).":[24],"While":[25],"deep":[26],"learning":[27],"(DL)-based":[28],"SEI":[29,58,69],"approaches":[30],"have":[31],"demonstrated":[32],"strong":[33,134],"potential,":[34],"they":[35],"heavily":[36],"depend":[37],"on":[38],"large,":[39],"labeled":[40],"datasets,":[41],"often":[44],"difficult":[45],"to":[46],"obtain":[47],"in":[48,107,127,139],"real-world":[49],"scenarios.":[50,109],"This":[51],"reliance":[52],"limits":[53],"robustness":[55,106,120],"existing":[57],"methods.":[59],"To":[60],"overcome":[61],"this":[62],"challenge,":[63],"we":[64],"propose":[65],"robust":[67],"few-shot":[68,108],"(FS-SEI)":[70],"method":[71],"leveraging":[72],"multi-view":[73,96],"feature":[74],"fusion":[75],"with":[76,86],"attention":[77,92],"(MFFA).":[78],"By":[79],"integrating":[80],"interpretable":[81],"signal":[82],"processing":[83],"(SP)":[84],"features":[85,88],"DL":[87],"and":[89,105,124,141],"incorporating":[90],"an":[91],"mechanism":[93],"adaptive":[95],"fusion,":[97],"proposed":[99],"approach":[100],"enhances":[101],"both":[102],"accuracy":[104],"Experimental":[110],"results":[111],"validate":[112],"effectiveness":[114],"method,":[117],"showing":[118],"consistent":[119],"under":[121],"noisy":[122],"conditions":[123],"significant":[125],"gains":[126],"accuracy.":[129],"These":[130],"findings":[131],"highlight":[132],"its":[133],"potential":[135],"practical":[137],"applications":[138],"dynamic":[140],"challenging":[142],"environments.":[143]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}