{"id":"https://openalex.org/W4409561026","doi":"https://doi.org/10.1109/lcomm.2025.3561934","title":"Node Attention-Embedded Broad Learning Method for Few-Shot Specific Emitter Identification","display_name":"Node Attention-Embedded Broad Learning Method for Few-Shot Specific Emitter Identification","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409561026","doi":"https://doi.org/10.1109/lcomm.2025.3561934"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2025.3561934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3561934","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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":"https://openalex.org/A5100387672","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0003-4423-459X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030689399","display_name":"Dengxi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengxi Wang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0009-3528-3569","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742730","display_name":"Yupeng Chen","orcid":"https://orcid.org/0009-0009-3234-4880"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Chen","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0009-3234-4880","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.2915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83520186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"29","issue":"6","first_page":"1365","last_page":"1369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9599000215530396,"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":0.9599000215530396,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12676","display_name":"Machine Learning and ELM","score":0.9283000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7158514857292175},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6041585206985474},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5013139247894287},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.46091750264167786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4113888740539551},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3570561707019806},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10263723134994507},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10010021924972534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158514857292175},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6041585206985474},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5013139247894287},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.46091750264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4113888740539551},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3570561707019806},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10263723134994507},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10010021924972534},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2025.3561934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3561934","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3033312900","display_name":null,"funder_award_id":"62201601","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":14,"referenced_works":["https://openalex.org/W1996640396","https://openalex.org/W2001619934","https://openalex.org/W2738226240","https://openalex.org/W3170485195","https://openalex.org/W3205971195","https://openalex.org/W4289821916","https://openalex.org/W4295832353","https://openalex.org/W4327522867","https://openalex.org/W4384519137","https://openalex.org/W4387623697","https://openalex.org/W4391305635","https://openalex.org/W4402217445","https://openalex.org/W4403447274","https://openalex.org/W4404520262"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"In":[0],"non-cooperative":[1],"communication":[2],"reconnaissance":[3],"scenarios,":[4],"the":[5,12,62,72,80,100,112,115,119,128],"limited":[6,69],"number":[7],"of":[8,103,114],"intercepted":[9],"signals":[10],"introduces":[11],"few-shot":[13,33,107],"specific":[14],"emitter":[15],"identification":[16],"(SEI)":[17],"problem.":[18],"Deep":[19],"learning-based":[20,44],"SEI":[21,45],"methods":[22],"are":[23],"prone":[24],"to":[25,60,78,83,111,127],"overfitting,":[26],"resulting":[27],"in":[28],"poor":[29],"recognition":[30,124],"performance":[31],"under":[32,106],"conditions.":[34,108],"To":[35],"address":[36],"this":[37,39],"issue,":[38],"paper":[40],"proposes":[41],"a":[42,90],"broad":[43,54],"method":[46,121],"embedded":[47],"with":[48],"an":[49],"node":[50,73,116],"attention":[51,74,117],"mechanism.":[52],"The":[53],"learning":[55,105],"system":[56],"(BLS)":[57],"is":[58,76],"employed":[59],"simplify":[61],"network":[63],"structure,":[64],"mitigating":[65],"overfitting":[66,101],"caused":[67],"by":[68],"samples,":[70],"while":[71],"mechanism":[75],"introduced":[77],"enhance":[79],"model\u2019s":[81],"ability":[82],"capture":[84],"important":[85],"features.":[86],"Experiments":[87],"conducted":[88],"on":[89],"publicly":[91],"available":[92],"ADS-B":[93],"dataset":[94],"demonstrate":[95],"that":[96],"BLS":[97,130],"effectively":[98],"addresses":[99],"problem":[102],"deep":[104],"Furthermore,":[109],"due":[110],"incorporation":[113],"mechanism,":[118],"proposed":[120],"achieves":[122],"improved":[123],"accuracy":[125],"compared":[126],"baseline":[129],"model.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}