{"id":"https://openalex.org/W4377001497","doi":"https://doi.org/10.1109/tvt.2023.3277036","title":"LTE Device Radio Frequency Fingerprints Blind Extraction Based on Temporal-Frequency Domain PRACH Signals","display_name":"LTE Device Radio Frequency Fingerprints Blind Extraction Based on Temporal-Frequency Domain PRACH Signals","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4377001497","doi":"https://doi.org/10.1109/tvt.2023.3277036"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3277036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3277036","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5100759528","display_name":"Dongming Li","orcid":"https://orcid.org/0000-0002-4557-6279"},"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":"Dongming Li","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4557-6279","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058074165","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-0666-6941"},"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":"Xuan Yang","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075678549","display_name":"Aiqun Hu","orcid":"https://orcid.org/0000-0002-0398-4899"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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":"Aiqun Hu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0398-4899","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011900098","display_name":"Fuhui Zhou","orcid":"https://orcid.org/0000-0001-6880-6244"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhui Zhou","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6880-6244","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077149719","display_name":"Octavia A. Dobre","orcid":"https://orcid.org/0000-0001-8528-0512"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Octavia A. Dobre","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Memorial University, St. John&#x0027;s, NL, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8528-0512","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Memorial University, St. John&#x0027;s, NL, Canada","institution_ids":["https://openalex.org/I130438778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1725,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92865625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"72","issue":"10","first_page":"13229","last_page":"13242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6172767877578735},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5697671175003052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.517347514629364},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5068545937538147},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.421970009803772},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3677823841571808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33609288930892944},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.21252253651618958},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19427582621574402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08913061022758484}],"concepts":[{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6172767877578735},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5697671175003052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517347514629364},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5068545937538147},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.421970009803772},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3677823841571808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33609288930892944},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.21252253651618958},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19427582621574402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08913061022758484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3277036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3277036","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2060091859","display_name":null,"funder_award_id":"62031012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5901541338","display_name":"\u8ba4\u77e5\u65e0\u4eba\u673a\u7f51\u7edc\u7684\u8d44\u6e90\u9c81\u68d2\u7ba1\u63a7\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6530468051","display_name":"\u57fa\u4e8e\u591a\u57df\u4fe1\u606f\u8054\u5408\u5229\u7528\u7684\u7a7a\u5730\u878d\u5408\u9891\u8c31\u5171\u4eab\u7814\u7a76","funder_award_id":"62071250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G67053083","display_name":null,"funder_award_id":"2242022R40030","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8431966463","display_name":null,"funder_award_id":"62222107","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/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1510900102","https://openalex.org/W2155372100","https://openalex.org/W2182473892","https://openalex.org/W2304380770","https://openalex.org/W2337120071","https://openalex.org/W2776818420","https://openalex.org/W2794211524","https://openalex.org/W2797907857","https://openalex.org/W2902432556","https://openalex.org/W2962725229","https://openalex.org/W3004340854","https://openalex.org/W3093575597","https://openalex.org/W3094247147","https://openalex.org/W3108962068","https://openalex.org/W3119093570","https://openalex.org/W3123476713","https://openalex.org/W3157465180","https://openalex.org/W3172135703","https://openalex.org/W3172553205","https://openalex.org/W3173878340","https://openalex.org/W3181667991","https://openalex.org/W3194740358","https://openalex.org/W3194865194","https://openalex.org/W4210353105","https://openalex.org/W4210461218","https://openalex.org/W4210814219","https://openalex.org/W6630491312","https://openalex.org/W6685808382"],"related_works":["https://openalex.org/W894828327","https://openalex.org/W2136559180","https://openalex.org/W2216505304","https://openalex.org/W2188424442","https://openalex.org/W2381350675","https://openalex.org/W1614028504","https://openalex.org/W1996938627","https://openalex.org/W1994396704","https://openalex.org/W2782295999","https://openalex.org/W1970292246"],"abstract_inverted_index":{"A":[0],"frequency-domain":[1,60,72,178],"cepstrum":[2,76,101],"correlation":[3,98],"and":[4,39,63,91,96,119,143,150,175,179,235],"temporal":[5,114,181],"transient":[6,65],"filtered":[7,149],"radio":[8,208],"frequency":[9],"fingerprints":[10],"(RFF)":[11],"blind":[12],"extraction":[13,174],"method":[14],"is":[15,81,103,161,170],"proposed":[16,221],"for":[17],"long":[18],"term":[19],"evolution":[20],"uplink":[21],"device":[22,54],"authentication":[23,217],"in":[24,57,172,230,237],"this":[25],"work.":[26],"With":[27,198],"the":[28,31,35,40,46,53,59,64,71,75,78,85,88,92,97,108,113,117,124,132,136,140,144,151,156,177,180,186,189,195,211,216,220,231,238],"merits":[29],"of":[30,34,45,77,135,155,188,201,219],"constant-modulus":[32],"nature":[33],"Zadoff-Chu":[36],"(ZC)":[37],"sequence":[38,62,80],"cyclic":[41],"prefix":[42],"(CP)":[43],"structure":[44,134],"physical":[47],"random":[48,93,109],"access":[49],"channel":[50],"(PRACH)":[51],"frame,":[52,138],"RFF":[55,73,90,115,173,182,223],"integrated":[56],"both":[58,176],"ZC":[61,79],"ramp-on/ramp-off":[66],"sequences":[67],"are":[68,128,147,183],"extracted.":[69],"For":[70,112],"extraction,":[74,116],"calculated":[82,105],"to":[83,106,193],"enlarge":[84],"gap":[86],"between":[87,99],"constant":[89],"fading":[94,110],"effects,":[95],"two":[100],"fragments":[102],"then":[104],"mitigate":[107],"components.":[111],"ramp-on":[118],"ramp-off":[120],"features":[121],"induced":[122],"by":[123,130],"device-specific":[125],"power":[126],"amplifier":[127],"extracted":[129],"exploiting":[131],"CP":[133,141],"PRACH":[137,167,202],"where":[139],"part":[142,146],"duplicate":[145],"adaptively":[148],"final":[152],"adapted":[153],"weight":[154],"least":[157],"mean":[158],"square":[159],"filter":[160],"used":[162],"as":[163,185,226,228],"RFF.":[164],"No":[165],"prior":[166],"parameter":[168],"knowledge":[169],"required":[171],"combined":[184,222],"input":[187],"convolutional":[190],"neural":[191],"network":[192],"enhance":[194],"classification":[196],"accuracy.":[197],"four-months":[199],"sampling":[200],"signals":[203],"emitted":[204],"from":[205],"universal":[206],"software":[207],"peripheral":[209],"devices,":[210],"experimental":[212],"results":[213],"show":[214],"that":[215],"accuracy":[218],"can":[224],"reach":[225],"high":[227],"99.9%":[229],"line-of-sight":[232],"(LOS)":[233],"scenario":[234],"99.6%":[236],"non-LOS":[239],"scenario.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
