{"id":"https://openalex.org/W4321482415","doi":"https://doi.org/10.1109/twc.2023.3245070","title":"Radio Frequency Fingerprint Identification With Hybrid Time-Varying Distortions","display_name":"Radio Frequency Fingerprint Identification With Hybrid Time-Varying Distortions","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321482415","doi":"https://doi.org/10.1109/twc.2023.3245070"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2023.3245070","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2023.3245070","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/4656680/10050441.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/7693/4656680/10050441.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040006617","display_name":"Jiashuo He","orcid":"https://orcid.org/0000-0002-5396-3498"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuo He","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5396-3498","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053721942","display_name":"Sai Huang","orcid":"https://orcid.org/0000-0002-5186-3362"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Huang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5186-3362","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030732784","display_name":"Shuo Chang","orcid":"https://orcid.org/0000-0001-5663-2793"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Chang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5663-2793","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044446485","display_name":"Fanggang Wang","orcid":"https://orcid.org/0000-0001-8807-2807"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanggang Wang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8807-2807","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077839536","display_name":"Ba-Zhong Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ba-Zhong Shen","raw_affiliation_strings":["State Key Laboratories of Integrated Services Networks and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratories of Integrated Services Networks and the Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001714538","display_name":"Zhiyong Feng","orcid":"https://orcid.org/0000-0001-5322-222X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Feng","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5322-222X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3612,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.97948984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":"10","first_page":"6724","last_page":"6736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.993399977684021,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.6179981231689453},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5974764823913574},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.545661211013794},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.5295879244804382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5142678618431091},{"id":"https://openalex.org/keywords/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.4877775311470032},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4692409336566925},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4347218871116638},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.4334816336631775},{"id":"https://openalex.org/keywords/cyclic-prefix","display_name":"Cyclic prefix","score":0.41553032398223877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3745775520801544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3705127239227295},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.33195754885673523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31341463327407837},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.30694380402565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2535616457462311},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2526077628135681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179981231689453},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5974764823913574},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.545661211013794},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.5295879244804382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5142678618431091},{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.4877775311470032},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4692409336566925},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4347218871116638},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.4334816336631775},{"id":"https://openalex.org/C2778775284","wikidata":"https://www.wikidata.org/wiki/Q5198224","display_name":"Cyclic prefix","level":4,"score":0.41553032398223877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3745775520801544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3705127239227295},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.33195754885673523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31341463327407837},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.30694380402565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2535616457462311},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2526077628135681},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2023.3245070","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2023.3245070","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/4656680/10050441.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/twc.2023.3245070","is_oa":true,"landing_page_url":"https://doi.org/10.1109/twc.2023.3245070","pdf_url":"https://ieeexplore.ieee.org/ielx7/7693/4656680/10050441.pdf","source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1022742456","display_name":null,"funder_award_id":"2020YFB1807602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G299826257","display_name":null,"funder_award_id":"62171045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G445789593","display_name":null,"funder_award_id":"2020YFB1807602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G499542055","display_name":null,"funder_award_id":"2019YFB1804404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6967025605","display_name":null,"funder_award_id":"62201090","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321482415.pdf","grobid_xml":"https://content.openalex.org/works/W4321482415.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W34176136","https://openalex.org/W1916913253","https://openalex.org/W1957358593","https://openalex.org/W1988251340","https://openalex.org/W2000093279","https://openalex.org/W2046332036","https://openalex.org/W2049659851","https://openalex.org/W2058401212","https://openalex.org/W2100133952","https://openalex.org/W2101397645","https://openalex.org/W2113138890","https://openalex.org/W2130952788","https://openalex.org/W2132147894","https://openalex.org/W2133402344","https://openalex.org/W2153971927","https://openalex.org/W2154170045","https://openalex.org/W2154395274","https://openalex.org/W2155886813","https://openalex.org/W2168228682","https://openalex.org/W2172000360","https://openalex.org/W2172227025","https://openalex.org/W2304380770","https://openalex.org/W2467825424","https://openalex.org/W2593883621","https://openalex.org/W2606332932","https://openalex.org/W2770987547","https://openalex.org/W2791256362","https://openalex.org/W2937871473","https://openalex.org/W2938144699","https://openalex.org/W2949585565","https://openalex.org/W2981392034","https://openalex.org/W2982145123","https://openalex.org/W3004340854","https://openalex.org/W3006541201","https://openalex.org/W3009085249","https://openalex.org/W3036818015","https://openalex.org/W3105108969","https://openalex.org/W3122999500","https://openalex.org/W3123268700","https://openalex.org/W3127763944","https://openalex.org/W3136235398","https://openalex.org/W3160200916","https://openalex.org/W3169313989","https://openalex.org/W3170485195","https://openalex.org/W3172135703","https://openalex.org/W3172553205","https://openalex.org/W3181667991","https://openalex.org/W6676597598"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W2795913985","https://openalex.org/W2378291829"],"abstract_inverted_index":{"Radio":[0],"frequency":[1,47,81,215],"fingerprint":[2],"identification":[3,238],"(RFFI)":[4],"is":[5,61,202],"a":[6,86],"promising":[7],"physical":[8],"layer":[9],"security":[10],"technique":[11],"that":[12,66,246],"employs":[13],"the":[14,19,34,67,80,99,108,113,120,137,143,148,154,159,168,171,178,187,190,193,203,209,213,218,222,233,247,253,265,270,279],"hardware-introduced":[15],"features":[16,150],"extracted":[17,135],"from":[18,136],"received":[20],"signals":[21],"for":[22,153],"device":[23],"identification.":[24],"In":[25],"this":[26,55,201],"paper,":[27],"we":[28,64,84,175,199],"consider":[29],"an":[30,57],"RFFI":[31,59,173,231,249],"problem":[32],"in":[33,79,189,221],"presence":[35],"of":[36,142,158,170,192,255],"hybrid":[37],"time-varying":[38],"distortions":[39],"(HTVDs)":[40],"induced":[41],"by":[42,211],"multipath":[43],"fading":[44],"channel,":[45],"carrier":[46],"offset":[48],"(CFO),":[49],"and":[50,96,131,139,156,240,259],"phase":[51],"offset.":[52],"To":[53,165],"solve":[54],"problem,":[56],"HTVDs-robust":[58,109,194],"framework":[60],"proposed.":[62],"Firstly,":[63],"derive":[65],"residual":[68],"HTVDs":[69,210],"after":[70],"CFO":[71],"correction":[72],"can":[73,116,251],"be":[74,117],"approximated":[75],"as":[76],"multiplicative":[77,114],"interference":[78,115],"domain.":[82],"Secondly,":[83],"define":[85],"novel":[87],"signal":[88],"analysis":[89],"dimension":[90],"named":[91],"spectral":[92,100,179],"quotient":[93],"(SQ)":[94],"representation":[95],"then":[97],"present":[98,177],"circular":[101,180],"shift":[102],"division":[103,182],"(SCSD)":[104],"method":[105,235],"to":[106,207,227],"generate":[107],"SQ":[110,144,195],"signals,":[111,145],"where":[112],"suppressed.":[118],"Thereafter,":[119],"statistics":[121],"including":[122],"root":[123],"mean":[124],"square":[125],"(RMS),":[126],"variance":[127],"(VAR),":[128],"skewness":[129],"(SKE),":[130],"kurtosis":[132],"(KUR)":[133],"are":[134,151,267,276],"real":[138],"imaginary":[140],"components":[141],"respectively.":[146],"Finally,":[147],"statistical":[149],"used":[152],"training":[155],"testing":[157],"support":[160],"vector":[161],"machine":[162],"(SVM)":[163],"classifiers.":[164],"further":[166],"enhance":[167],"performance":[169],"proposed":[172,234,248],"scheme,":[174],"also":[176],"multi-shift":[181],"(SCMSD)":[183],"method,":[184],"which":[185],"increases":[186],"flexibility":[188],"generation":[191],"signals.":[196],"Given":[197],"what":[198],"knew,":[200],"first":[204],"time":[205],"attempting":[206],"mitigate":[208],"leveraging":[212],"strong":[214,241],"correlation":[216],"at":[217],"neighboring":[219],"subcarriers":[220],"multivariate":[223],"hypothesis":[224],"tasks.":[225],"Compared":[226],"several":[228],"handcraft":[229],"feature-based":[230],"methods,":[232],"exhibits":[236],"superior":[237],"accuracy":[239,254],"robustness.":[242],"Experimental":[243],"results":[244],"show":[245],"scheme":[250],"achieve":[252],"91.3%with":[256],"five":[257],"devices":[258,263],"86.4%":[260],"with":[261,269,278],"sixteen":[262],"when":[264],"classifiers":[266],"trained":[268],"additive":[271],"white":[272],"Gaussian":[273],"noise":[274],"but":[275],"tested":[277],"Rayleigh":[280],"channel.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
