{"id":"https://openalex.org/W4406355344","doi":"https://doi.org/10.1109/wcsp62071.2024.10826985","title":"Radio Frequency Fingerprint Extraction Scheme Based on Nonlinear Characteristics in Low SNR Environment","display_name":"Radio Frequency Fingerprint Extraction Scheme Based on Nonlinear Characteristics in Low SNR Environment","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355344","doi":"https://doi.org/10.1109/wcsp62071.2024.10826985"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10826985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5110198375","display_name":"Yu Wu","orcid":"https://orcid.org/0009-0004-6340-9951"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Wu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051720258","display_name":"Yijin Pan","orcid":"https://orcid.org/0000-0002-9619-2814"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijin Pan","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044037365","display_name":"Gengyi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengyi Liu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372762","display_name":"Jun-Bo Wang","orcid":"https://orcid.org/0000-0002-1881-3558"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Bo Wang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110198375"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2868389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"643","last_page":"648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9645000100135803,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9645000100135803,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9333999752998352,"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/T13289","display_name":"Infant Health and Development","score":0.9010999798774719,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7609392404556274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190770864486694},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.6158134937286377},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5847827792167664},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5466715097427368},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.538804292678833},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5307186841964722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33834308385849},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3216368556022644},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21150127053260803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17209666967391968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14841431379318237},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12604036927223206}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7609392404556274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190770864486694},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.6158134937286377},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5847827792167664},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5466715097427368},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.538804292678833},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5307186841964722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33834308385849},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3216368556022644},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21150127053260803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17209666967391968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14841431379318237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12604036927223206},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10826985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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":16,"referenced_works":["https://openalex.org/W2104560223","https://openalex.org/W2108139215","https://openalex.org/W2803989302","https://openalex.org/W2890720923","https://openalex.org/W2899622222","https://openalex.org/W2963580435","https://openalex.org/W3009085249","https://openalex.org/W3122999500","https://openalex.org/W3127763944","https://openalex.org/W4311411594","https://openalex.org/W4387490268","https://openalex.org/W4387789460","https://openalex.org/W4391661480","https://openalex.org/W6667887835","https://openalex.org/W6679711110","https://openalex.org/W6846804567"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W1621827506","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprint":[2],"(RFF)":[3],"technique":[4],"serves":[5],"as":[6,126],"a":[7,38,89,118],"reliable":[8],"solution":[9],"to":[10,30,76,88,94],"identity":[11],"authentication":[12],"by":[13,72,103],"exploiting":[14],"the":[15,49,78,96,123,130],"inherent":[16],"transmitter":[17],"imperfection.":[18],"Among":[19],"various":[20],"RFF":[21,40],"features,":[22,127],"nonlinear":[23,51,124],"characteristics":[24],"have":[25],"been":[26],"widely":[27],"investigated":[28],"due":[29],"their":[31],"significant":[32],"recognition":[33],"performance.":[34],"In":[35,92],"this":[36],"paper,":[37],"feasible":[39],"extraction":[41],"and":[42,57],"classification":[43,109],"scheme":[44],"is":[45],"proposed":[46,97],"based":[47],"on":[48],"joint":[50],"effect":[52],"of":[53,80,111,120,132],"power":[54],"amplifier":[55],"(PA)":[56],"root":[58],"raised":[59],"cosine":[60],"filter":[61],"(RRC).":[62],"The":[63,108],"nonlinearity":[64],"features":[65,85],"are":[66,86,101],"extracted":[67],"from":[68],"received":[69],"signals":[70],"processed":[71],"symbol":[73],"stacking":[74],"method":[75],"suppress":[77],"interference":[79],"channel":[81],"noise.":[82],"Subsequently,":[83],"these":[84],"sent":[87],"hybrid":[90],"classifier.":[91],"order":[93],"validate":[95],"scheme,":[98],"five":[99],"PAs":[100],"generated":[102],"Volterra":[104],"model":[105],"for":[106],"experiment.":[107],"accuracy":[110],"different":[112],"transmitters":[113],"can":[114],"reach":[115],"90%":[116],"at":[117],"SNR":[119],"-6dB":[121],"using":[122],"coefficients":[125],"which":[128],"demonstrates":[129],"feasibility":[131],"our":[133],"scheme.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}