{"id":"https://openalex.org/W4365457682","doi":"https://doi.org/10.4018/ijitsa.321194","title":"Radio Frequency Fingerprint Identification Based on Metric Learning","display_name":"Radio Frequency Fingerprint Identification Based on Metric Learning","publication_year":2023,"publication_date":"2023-04-13","ids":{"openalex":"https://openalex.org/W4365457682","doi":"https://doi.org/10.4018/ijitsa.321194"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijitsa.321194","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=321194&isxn=9781668489529","source":{"id":"https://openalex.org/S164667806","display_name":"International Journal of Information Technologies and Systems Approach","issn_l":"1935-570X","issn":["1935-570X","1935-5718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=321194&isxn=9781668489529","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080069383","display_name":"Danyao Shen","orcid":"https://orcid.org/0000-0002-9047-5645"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyao Shen","raw_affiliation_strings":["Xi'an Research Institute of High Technology, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of High Technology, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068431166","display_name":"Fengchao Zhu","orcid":"https://orcid.org/0000-0002-0867-5470"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengchao Zhu","raw_affiliation_strings":["Xi'an Research Institute of High Technology, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of High Technology, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745116","display_name":"Zhanpeng Zhang","orcid":"https://orcid.org/0009-0003-4041-0434"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanpeng Zhang","raw_affiliation_strings":["Xi'an Research Institute of High Technology, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of High Technology, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109081090","display_name":"Xiaodong Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Mu","raw_affiliation_strings":["Xi'an Research Institute of High Technology, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of High Technology, China","institution_ids":["https://openalex.org/I4210130660"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9999,"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":0.9999,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.965,"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":0.9643,"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/identification","display_name":"Identification","score":0.55747664},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.46572134}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.70729315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69777346},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.55747664},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.52956796},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5212439},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.50480545},{"id":"https://openalex.org/C94475309","wikidata":"https://www.wikidata.org/wiki/Q6489154","display_name":"Large margin nearest neighbor","level":3,"score":0.47258934},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.46572134},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43778336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42841533},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.42794645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41287366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4093693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36636636},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.36052775},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17772627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1394799},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11614454},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijitsa.321194","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=321194&isxn=9781668489529","source":{"id":"https://openalex.org/S164667806","display_name":"International Journal of Information Technologies and Systems Approach","issn_l":"1935-570X","issn":["1935-570X","1935-5718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijitsa.321194","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=321194&isxn=9781668489529","source":{"id":"https://openalex.org/S164667806","display_name":"International Journal of Information Technologies and Systems Approach","issn_l":"1935-570X","issn":["1935-570X","1935-5718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1985671681","https://openalex.org/W2009086942","https://openalex.org/W2052476756","https://openalex.org/W2073892852","https://openalex.org/W2097571740","https://openalex.org/W2106053110","https://openalex.org/W2155886813","https://openalex.org/W2187089797","https://openalex.org/W2589465363","https://openalex.org/W2601844070","https://openalex.org/W2746956234","https://openalex.org/W2791747180","https://openalex.org/W2803989302","https://openalex.org/W2963580435","https://openalex.org/W2984025449","https://openalex.org/W4250589301","https://openalex.org/W790986690","https://openalex.org/W96549597"],"related_works":["https://openalex.org/W2802487487","https://openalex.org/W2519241726","https://openalex.org/W2391642054","https://openalex.org/W2354127086","https://openalex.org/W2351157934","https://openalex.org/W2108882154","https://openalex.org/W2107754327","https://openalex.org/W2015442739","https://openalex.org/W2015098463","https://openalex.org/W1985839407"],"abstract_inverted_index":{"With":[0],"the":[1,4,32,79,82,85,92,113,123,127,147,159,177,180,183],"popularization":[2],"of":[3,6,34,45,84,149,182],"internet":[5],"things":[7],"(IoT),":[8],"its":[9],"security":[10,23,27],"has":[11],"become":[12],"increasingly":[13],"prominent.":[14],"Radio-frequency":[15],"fingerprinting":[16],"(RFF)":[17],"is":[18,117],"used":[19,72],"as":[20],"a":[21,38,54,62,134],"physical-layer":[22],"method":[24,66,116,161,185],"to":[25,50,77,100],"provide":[26],"in":[28,37,53,186],"wireless":[29,128],"networks.":[30],"However,":[31],"problems":[33],"poor":[35],"performance":[36,148],"highly":[39],"noisy":[40],"environment":[41],"and":[42,120,137,170,189],"less":[43],"consideration":[44],"calculation":[46],"resources":[47],"are":[48],"urgent":[49],"be":[51],"resolved":[52],"practical":[55],"RFF":[56,64,80,110,152],"application":[57],"domain.":[58],"The":[59],"authors":[60],"propose":[61,133],"new":[63,135],"identification":[65,111,153,165],"based":[67,140],"on":[68,141],"metric":[69,125],"learning.":[70],"They":[71],"power":[73],"spectrum":[74],"density":[75],"(PSD)":[76],"extract":[78],"from":[81,108,126],"nonlinearity":[83],"RF":[86],"front":[87],"end.":[88],"Then":[89],"they":[90,132],"adopted":[91],"large":[93],"margin":[94],"nearest":[95],"neighbor":[96],"(LMNN)":[97],"classification":[98],"algorithm":[99],"identify":[101],"eight":[102],"software-defined":[103],"radio":[104],"(SDR)":[105],"devices.":[106],"Different":[107],"existing":[109],"algorithms,":[112],"proposed":[114,160,184],"LMNN":[115],"more":[118],"general":[119],"can":[121,162],"learn":[122],"optimal":[124],"communication":[129],"environment.":[130],"Furthermore,":[131],"training":[136],"test":[138],"strategy":[139],"mixed":[142],"SNR,":[143],"which":[144],"significantly":[145],"improves":[146],"conventional":[150],"low-complexity":[151],"methods.":[154],"Experimental":[155],"results":[156],"show":[157],"that":[158],"achieve":[163],"99.8%":[164],"accuracy":[166],"with":[167,172],"30dB":[168],"SNR":[169],"96.83%":[171],"10dB":[173],"SNR.":[174],"In":[175],"conclusion,":[176],"study":[178],"demonstrates":[179],"effectiveness":[181],"recognition":[187],"efficiency":[188],"computational":[190],"complexity.":[191]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4365457682","counts_by_year":[],"updated_date":"2024-12-12T18:45:44.787064","created_date":"2023-04-15"}