{"id":"https://openalex.org/W4400975243","doi":"https://doi.org/10.1109/taes.2024.3433326","title":"Automatic Modulation Recognition for Radio Frequency Proximity Sensor Signals Based on Masked Autoencoders and Transfer Learning","display_name":"Automatic Modulation Recognition for Radio Frequency Proximity Sensor Signals Based on Masked Autoencoders and Transfer Learning","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400975243","doi":"https://doi.org/10.1109/taes.2024.3433326"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3433326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3433326","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5068308642","display_name":"Guanghua Yi","orcid":"https://orcid.org/0009-0002-1820-0898"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghua Yi","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067521894","display_name":"Xinhong Hao","orcid":"https://orcid.org/0000-0002-6448-4839"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhong Hao","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","The School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"The School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022366386","display_name":"Xiaopeng Yan","orcid":"https://orcid.org/0000-0002-3820-5429"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Yan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","The School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"The School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiawei Wang","orcid":"https://orcid.org/0009-0004-7835-4690"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090880904","display_name":"Jian Dai","orcid":"https://orcid.org/0000-0003-0315-4673"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dai","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068308642"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.3905,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90075654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"60","issue":"6","first_page":"8700","last_page":"8712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9829999804496765,"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":0.9829999804496765,"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/frequency-modulation","display_name":"Frequency modulation","score":0.5963810086250305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894198417663574},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4999709129333496},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.49493569135665894},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48428624868392944},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4577424228191376},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.41974225640296936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4150146245956421},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37888476252555847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3516669273376465},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2758675515651703},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25400876998901367},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2476445436477661},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18623894453048706}],"concepts":[{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.5963810086250305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894198417663574},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4999709129333496},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.49493569135665894},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48428624868392944},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4577424228191376},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.41974225640296936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4150146245956421},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37888476252555847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3516669273376465},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2758675515651703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25400876998901367},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2476445436477661},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18623894453048706},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2024.3433326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3433326","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1699948350","display_name":null,"funder_award_id":"61973037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G532130057","display_name":null,"funder_award_id":"2022M720419","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5421726382","display_name":null,"funder_award_id":"62301051","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2588926785","https://openalex.org/W2733173642","https://openalex.org/W2795257254","https://openalex.org/W2897348402","https://openalex.org/W2916238263","https://openalex.org/W2921683268","https://openalex.org/W2953997599","https://openalex.org/W2990554528","https://openalex.org/W2997959498","https://openalex.org/W3041283662","https://openalex.org/W3083186648","https://openalex.org/W3085631338","https://openalex.org/W3093540742","https://openalex.org/W3113910815","https://openalex.org/W3118362744","https://openalex.org/W3131169892","https://openalex.org/W3135361862","https://openalex.org/W3164063707","https://openalex.org/W3164775606","https://openalex.org/W3175065799","https://openalex.org/W3216400701","https://openalex.org/W4205640745","https://openalex.org/W4210655812","https://openalex.org/W4225587626","https://openalex.org/W4225799941","https://openalex.org/W4285266496","https://openalex.org/W4303980351","https://openalex.org/W4311906417","https://openalex.org/W4313156423","https://openalex.org/W4316467837","https://openalex.org/W4367186798","https://openalex.org/W4377079721","https://openalex.org/W4377971541","https://openalex.org/W4383337778","https://openalex.org/W4383497732","https://openalex.org/W6637373629","https://openalex.org/W6729573070","https://openalex.org/W6755977528","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W4387474130","https://openalex.org/W2004723848","https://openalex.org/W2086788376","https://openalex.org/W2093157008","https://openalex.org/W2180910554","https://openalex.org/W1518527075","https://openalex.org/W2162174235","https://openalex.org/W2143773860","https://openalex.org/W2068642629","https://openalex.org/W2012415775"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1],"recognition":[2,160,179],"(AMR)":[3],"for":[4,15,25,153],"radio":[5],"frequency":[6],"proximity":[7],"sensor":[8],"(RFPS)":[9],"signals":[10,27,116,185],"is":[11,80,103,136],"an":[12,57,92,139],"essential":[13],"prerequisite":[14],"performing":[16],"corresponding":[17],"jamming":[18],"strategies":[19],"as":[20],"countermeasures.":[21],"However,":[22],"realizing":[23,156],"AMR":[24,58,93],"RFPS":[26,38,89,141,158,184],"in":[28,145,161,175],"the":[29,74,78,84,109,114,133,146,162,172,178,189],"interrupted":[30,87,147,163,182],"sampling":[31,88,148,164,183],"mode":[32,149,165],"involves":[33],"great":[34],"challenges,":[35],"including":[36],"truncated":[37,115],"signal":[39,142,159],"reconstruction":[40,99,119],"and":[41,48,65,100,122],"efficient":[42],"learning":[43,102,152],"with":[44],"small":[45,168],"sample":[46,129,169],"sizes":[47],"low":[49],"signal-to-noise":[50],"ratios":[51],"(SNR).":[52],"Therefore,":[53],"this":[54,176],"article":[55],"proposes":[56],"method":[59,173],"based":[60,72,95],"on":[61,73,96],"masked":[62],"autoencoders":[63],"(MAEs)":[64],"transfer":[66,101,151],"learning.":[67],"First,":[68],"a":[69,123,167],"denoising":[70],"model":[71,94,106,135],"encoder\u2013decoder":[75],"structure":[76],"of":[77,86,113,181],"MAE":[79],"constructed":[81],"to":[82,138],"improve":[83],"SNR":[85,190],"signals.":[90],"Second,":[91],"time\u2013frequency":[97],"(TF)":[98],"constructed.":[104],"This":[105],"autonomously":[107],"learns":[108],"internal":[110],"distribution":[111],"law":[112],"through":[117,150],"TF":[118],"process":[120],"pretraining":[121],"random":[124],"mask":[125],"structure,":[126],"reducing":[127],"its":[128],"size":[130],"dependence.":[131],"Finally,":[132],"pretrained":[134],"migrated":[137],"actual":[140],"dataset":[143],"acquired":[144],"fine-tuning,":[154],"thus":[155],"accurate":[157],"under":[166],"size.":[170],"With":[171],"proposed":[174],"article,":[177],"accuracy":[180],"beyond":[186],"95%":[187],"when":[188],"exceeds":[191],"\u221214":[192],"dB.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}