{"id":"https://openalex.org/W2985735720","doi":"https://doi.org/10.1109/tetci.2019.2907740","title":"Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration","display_name":"Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration","publication_year":2019,"publication_date":"2019-10-30","ids":{"openalex":"https://openalex.org/W2985735720","doi":"https://doi.org/10.1109/tetci.2019.2907740","mag":"2985735720"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2019.2907740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2019.2907740","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorio.uchile.cl/handle/2250/190947","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042037822","display_name":"Feiyi Xie","orcid":"https://orcid.org/0000-0003-3256-2510"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiyi Xie","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035607374","display_name":"Hong Wen","orcid":"https://orcid.org/0000-0002-0073-6101"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029265765","display_name":"Jinsong Wu","orcid":"https://orcid.org/0000-0003-4720-5946"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Jinsong Wu","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Chile, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102930564","display_name":"Wenjing Hou","orcid":"https://orcid.org/0000-0002-1186-2373"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Hou","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052285379","display_name":"Huanhuan Song","orcid":"https://orcid.org/0000-0001-8591-6939"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Song","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896425","display_name":"Tengyue Zhang","orcid":"https://orcid.org/0000-0003-0037-7345"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengyue Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065697501","display_name":"Runfa Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runfa Liao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059085983","display_name":"Yixin Jiang","orcid":"https://orcid.org/0009-0000-3823-9875"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Jiang","raw_affiliation_strings":["China Southern Grid, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"China Southern Grid, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5042037822"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.8809,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89625403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"4","issue":"3","first_page":"276","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.998199999332428,"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":0.998199999332428,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/randomness","display_name":"Randomness","score":0.7427225112915039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217112183570862},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.703581690788269},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5620039701461792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5001287460327148},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49671536684036255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47044792771339417},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.43404215574264526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41475117206573486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3292267918586731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12447205185890198}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7427225112915039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217112183570862},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.703581690788269},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5620039701461792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5001287460327148},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49671536684036255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47044792771339417},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.43404215574264526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41475117206573486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3292267918586731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12447205185890198},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tetci.2019.2907740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2019.2907740","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.uchile.cl:2250/190947","is_oa":true,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/190947","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"Art\u00edculo de revista"}],"best_oa_location":{"id":"pmh:oai:repositorio.uchile.cl:2250/190947","is_oa":true,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/190947","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"Art\u00edculo de revista"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1589606770","https://openalex.org/W1968960382","https://openalex.org/W1970352604","https://openalex.org/W1970490389","https://openalex.org/W1979651826","https://openalex.org/W2006208855","https://openalex.org/W2014481824","https://openalex.org/W2045146931","https://openalex.org/W2074660801","https://openalex.org/W2096773124","https://openalex.org/W2098816753","https://openalex.org/W2104453356","https://openalex.org/W2114440979","https://openalex.org/W2116988482","https://openalex.org/W2118286367","https://openalex.org/W2120560645","https://openalex.org/W2126141521","https://openalex.org/W2126326837","https://openalex.org/W2132984323","https://openalex.org/W2152328854","https://openalex.org/W2154350575","https://openalex.org/W2164162938","https://openalex.org/W2197299173","https://openalex.org/W2249590530","https://openalex.org/W2262164403","https://openalex.org/W2304245051","https://openalex.org/W2316444051","https://openalex.org/W2412444599","https://openalex.org/W2509065397","https://openalex.org/W2532423614","https://openalex.org/W2562170229","https://openalex.org/W2597316446","https://openalex.org/W2736168366","https://openalex.org/W2743702376","https://openalex.org/W2770197417","https://openalex.org/W2775646308","https://openalex.org/W2776276349","https://openalex.org/W2781762404","https://openalex.org/W2783445536","https://openalex.org/W2789761343","https://openalex.org/W2790418569","https://openalex.org/W2792095806","https://openalex.org/W2794245731","https://openalex.org/W2794644251","https://openalex.org/W2796098661","https://openalex.org/W2892792029","https://openalex.org/W2906097308","https://openalex.org/W3098357269"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W2981906196","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprinting":[2],"(RFF)":[3],"is":[4,20,30,40,93],"a":[5,66],"lightweight":[6],"access":[7],"authentication":[8],"method":[9,45,121],"for":[10,72],"the":[11,28,34,41,57,77,103,123,152,161],"mobile":[12],"terminal":[13],"nodes.":[14],"The":[15],"classification":[16,58,106],"accuracy":[17,107],"of":[18,26,59,105,118,130,163],"RFF":[19,164],"effectively":[21],"improved":[22,167],"by":[23,109,169],"machine":[24,137],"learning,":[25],"which":[27,158],"performance":[29,117,162],"deeply":[31],"enhanced":[32],"with":[33,53,133,151],"increasing":[35],"training":[36],"data.":[37],"Data":[38],"augmentation":[39,71,88,120],"most":[42],"frequently":[43],"used":[44],"to":[46,97,115],"get":[47],"additional":[48,99],"data":[49,55,70,87,174],"and":[50,61,81,101,139,148,156],"superior":[51],"results":[52],"limited":[54],"in":[56,95],"images":[60],"sounds.":[62],"This":[63],"paper":[64],"proposes":[65],"random":[67],"integration":[68,92,143,172],"based":[69,89,173],"signal":[73,80],"processing":[74],"via":[75],"exploring":[76],"similarity":[78],"between":[79],"deoxyribonucleic":[82],"acid":[83],"sequence.":[84],"An":[85],"optimized":[86],"on":[90],"pseudo-random":[91,142,171],"designed":[94],"order":[96],"provide":[98],"data,":[100],"reduce":[102],"instability":[104],"caused":[108],"randomness":[110],"simultaneously.":[111],"Experiments":[112],"are":[113],"made":[114],"demonstrate":[116],"each":[119],"using":[122],"same":[124,153],"model":[125],"that":[126,141,160],"classifies":[127],"ten":[128],"kinds":[129],"RF":[131],"fingerprints":[132],"Gaussian":[134],"support":[135],"vector":[136],"classifier,":[138],"show":[140],"has":[144],"an":[145],"obviously":[146],"accurate":[147],"stable":[149],"result":[150],"initial":[154],"dataset":[155],"system,":[157],"implies":[159],"could":[165],"be":[166],"further":[168],"applying":[170],"augmentation.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
