{"id":"https://openalex.org/W3161898614","doi":"https://doi.org/10.1109/icassp39728.2021.9414985","title":"Adaptive RF Fingerprint Decomposition in Micro UAV Detection based on Machine Learning","display_name":"Adaptive RF Fingerprint Decomposition in Micro UAV Detection based on Machine Learning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161898614","doi":"https://doi.org/10.1109/icassp39728.2021.9414985","mag":"3161898614"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102821804","display_name":"Chengtao Xu","orcid":"https://orcid.org/0000-0002-0067-3948"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chengtao Xu","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062994765","display_name":"Fengyu He","orcid":null},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengyu He","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675171","display_name":"Bowen Chen","orcid":"https://orcid.org/0000-0001-9442-8689"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bowen Chen","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006087820","display_name":"Yushan Jiang","orcid":"https://orcid.org/0000-0002-4226-7534"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yushan Jiang","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Electrical Engineering and Computer Science,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102821804"],"corresponding_institution_ids":["https://openalex.org/I84475105"],"apc_list":null,"apc_paid":null,"fwci":1.0877,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81412911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7968","last_page":"7972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9952999949455261,"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":0.9952999949455261,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.960099995136261,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9166733026504517},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.6845935583114624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642200231552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6322755217552185},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6233063340187073},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.59116530418396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5614033937454224},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5114978551864624},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.49276354908943176},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.48737388849258423},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48100218176841736},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4631556570529938},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4630259573459625},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45647862553596497},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4483453631401062},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37991565465927124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21870377659797668},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1269991397857666}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9166733026504517},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.6845935583114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642200231552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6322755217552185},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6233063340187073},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.59116530418396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5614033937454224},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5114978551864624},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.49276354908943176},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.48737388849258423},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48100218176841736},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4631556570529938},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4630259573459625},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45647862553596497},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4483453631401062},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37991565465927124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21870377659797668},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1269991397857666},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4300000071525574,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1584299556","https://openalex.org/W1837647555","https://openalex.org/W2007221293","https://openalex.org/W2011402864","https://openalex.org/W2018118529","https://openalex.org/W2120390927","https://openalex.org/W2464322612","https://openalex.org/W2563930179","https://openalex.org/W2744663525","https://openalex.org/W2767864818","https://openalex.org/W2772542818","https://openalex.org/W2798636681","https://openalex.org/W2903436071","https://openalex.org/W2963904864","https://openalex.org/W2964138953","https://openalex.org/W2972476015","https://openalex.org/W3080499510","https://openalex.org/W3081923410","https://openalex.org/W3085604187","https://openalex.org/W3094175236","https://openalex.org/W3103998378","https://openalex.org/W4288109972","https://openalex.org/W6653360761","https://openalex.org/W6767510530","https://openalex.org/W6782325576","https://openalex.org/W6783156543"],"related_works":["https://openalex.org/W2364188284","https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W1621827506","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W116012085","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"(RF)":[2],"signal":[3,59,100],"classification":[4,68],"has":[5],"significantly":[6],"been":[7],"used":[8],"for":[9,57],"detecting":[10],"and":[11,31,78],"identifying":[12,97],"the":[13,39,72,85],"features":[14,90],"of":[15,43,91],"unknown":[16],"unmanned":[17],"aerial":[18],"vehicles":[19],"(UAVs).":[20],"This":[21],"paper":[22],"proposes":[23],"a":[24],"method":[25],"using":[26],"empirical":[27,33],"mode":[28,34,49],"decomposition":[29,35],"(EMD)":[30],"ensemble":[32],"(EEMD)":[36],"on":[37,63,96],"extracting":[38],"communication":[40,93],"channel":[41],"characteristics":[42],"intruding":[44],"UAVs.":[45],"The":[46,67],"decomposed":[47],"intrinsic":[48],"functions":[50],"(IMFs)":[51],"except":[52],"noise":[53],"components":[54],"are":[55],"selected":[56],"RF":[58,92,99],"pattern":[60],"recognition":[61],"based":[62],"machine":[64],"learning":[65],"(ML).":[66],"results":[69],"show":[70],"that":[71],"denoising":[73],"effects":[74],"introduced":[75],"by":[76],"EMD":[77],"EEMD":[79],"could":[80],"both":[81],"fit":[82],"in":[83],"improving":[84],"detection":[86],"accuracy":[87],"with":[88],"different":[89],"channel,":[94],"especially":[95],"time-varying":[98],"sources.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
