{"id":"https://openalex.org/W4405104179","doi":"https://doi.org/10.1109/milcom61039.2024.10773837","title":"Drone RF Signal Detection and Fingerprinting: UAVSig Dataset and Deep Learning Approach","display_name":"Drone RF Signal Detection and Fingerprinting: UAVSig Dataset and Deep Learning Approach","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4405104179","doi":"https://doi.org/10.1109/milcom61039.2024.10773837"},"language":"en","primary_location":{"id":"doi:10.1109/milcom61039.2024.10773837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","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/A5101894279","display_name":"Tianyi Zhao","orcid":"https://orcid.org/0009-0001-3413-1792"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tianyi Zhao","raw_affiliation_strings":["University of California,Electrical and Computer Engineering Department,Los Angeles,USA"],"affiliations":[{"raw_affiliation_string":"University of California,Electrical and Computer Engineering Department,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033823067","display_name":"Benjamin W. Domae","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin W. Domae","raw_affiliation_strings":["University of California,Electrical and Computer Engineering Department,Los Angeles,USA"],"affiliations":[{"raw_affiliation_string":"University of California,Electrical and Computer Engineering Department,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115027176","display_name":"Connor Steigerwald","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connor Steigerwald","raw_affiliation_strings":["University of California,Electrical and Computer Engineering Department,Los Angeles,USA"],"affiliations":[{"raw_affiliation_string":"University of California,Electrical and Computer Engineering Department,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108339894","display_name":"L. Paradis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157896","display_name":"Perceptronics Solutions (United States)","ror":"https://ror.org/04rjtde10","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke B. Paradis","raw_affiliation_strings":["Perceptronics Solutions, Inc"],"affiliations":[{"raw_affiliation_string":"Perceptronics Solutions, Inc","institution_ids":["https://openalex.org/I4210157896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077033216","display_name":"Timur Chabuk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157896","display_name":"Perceptronics Solutions (United States)","ror":"https://ror.org/04rjtde10","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim Chabuk","raw_affiliation_strings":["Perceptronics Solutions, Inc"],"affiliations":[{"raw_affiliation_string":"Perceptronics Solutions, Inc","institution_ids":["https://openalex.org/I4210157896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008128583","display_name":"Danijela \u010cabri\u0107","orcid":"https://orcid.org/0000-0002-5967-2683"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danijela Cabric","raw_affiliation_strings":["University of California,Electrical and Computer Engineering Department,Los Angeles,USA"],"affiliations":[{"raw_affiliation_string":"University of California,Electrical and Computer Engineering Department,Los Angeles,USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101894279"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":2.6528,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91496611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9945999979972839,"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":0.9945999979972839,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9034000039100647,"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/drone","display_name":"Drone","score":0.7861406207084656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054458856582642},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.486218124628067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653497636318207},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.42619121074676514},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13331511616706848}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7861406207084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054458856582642},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.486218124628067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653497636318207},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.42619121074676514},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13331511616706848},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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:10.1109/milcom61039.2024.10773837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2797821788","https://openalex.org/W2962691117","https://openalex.org/W2962970995","https://openalex.org/W2963037989","https://openalex.org/W2976792973","https://openalex.org/W2999467118","https://openalex.org/W3106557886","https://openalex.org/W3162073908","https://openalex.org/W3181667991","https://openalex.org/W3186636284","https://openalex.org/W3210727143","https://openalex.org/W4312502494","https://openalex.org/W4319878477","https://openalex.org/W4387934904","https://openalex.org/W4388145532","https://openalex.org/W4401507993","https://openalex.org/W4401692987","https://openalex.org/W6907297935","https://openalex.org/W6907315318"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"are":[4],"useful":[5],"for":[6,43,178],"commercial,":[7],"recreational,":[8],"and":[9,21,33,57,75,110,118,157,175,181],"military":[10],"applications,":[11],"but":[12],"they":[13],"can":[14,40,154,171],"also":[15,119,147],"be":[16,41],"used":[17],"by":[18],"malicious":[19],"attackers":[20],"pose":[22],"security":[23],"threats.":[24],"Therefore,":[25],"it":[26],"is":[27],"important":[28],"to":[29,65],"monitor":[30],"their":[31,35],"occurrences":[32],"ensure":[34],"compliance.":[36],"Radio":[37],"frequency":[38,52],"signals":[39,56,113],"leveraged":[42],"such":[44],"task.":[45],"However,":[46],"commercial":[47],"UAVs":[48],"often":[49],"adopt":[50],"the":[51,72,82,92,106,120,127,137,162,188],"hopping":[53],"spread":[54],"spectrum":[55],"proprietary":[58],"protocols,":[59],"which":[60,153],"makes":[61],"them":[62,80],"more":[63],"challenging":[64],"detect.":[66],"While":[67],"prior":[68],"works":[69],"have":[70],"studied":[71],"UAV":[73,86,112,143],"detection":[74],"classification":[76,83,183],"problem,":[77,134],"most":[78],"of":[79,91,108,122,126,142,161,187],"consider":[81,105],"between":[84,89],"different":[85],"models.":[87],"Classification":[88],"drones":[90,125,160,186],"same":[93,128,163,189],"model":[94,129,152,164,170],"has":[95],"not":[96],"yet":[97],"fully":[98],"been":[99],"investigated.":[100],"In":[101],"this":[102,133],"work,":[103],"we":[104,135],"tasks":[107],"detecting":[109],"localizing":[111],"in":[114],"a":[115,149],"wideband":[116],"spectrum,":[117],"task":[121],"fingerprinting":[123],"these":[124],"simultaneously.":[130],"To":[131],"solve":[132,155],"collect":[136],"UAVSig,":[138],"an":[139],"over-the-air":[140],"dataset":[141],"RF":[144],"signals.":[145],"We":[146],"present":[148],"deep":[150],"learning":[151],"detect":[156],"fingerprint":[158],"multiple":[159],"simultaneously":[165],"based":[166],"on":[167],"spectrograms.":[168],"Our":[169],"achieve":[172],"99.5%":[173],"precision":[174],"99.4%":[176],"recall":[177],"transmission":[179],"detection,":[180],"90.9%":[182],"accuracy":[184],"with":[185],"model.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
