{"id":"https://openalex.org/W2887836783","doi":"https://doi.org/10.1109/cns.2018.8433156","title":"A Low Complexity Feature Extraction for the RF Fingerprinting Process","display_name":"A Low Complexity Feature Extraction for the RF Fingerprinting Process","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2887836783","doi":"https://doi.org/10.1109/cns.2018.8433156","mag":"2887836783"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2018.8433156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2018.8433156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Communications and Network Security (CNS)","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/A5100710084","display_name":"Yushan Li","orcid":"https://orcid.org/0000-0001-8795-850X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yushan Li","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040610238","display_name":"Liufei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liufei Chen","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333005","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2449-9793"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042037822","display_name":"Feiyi Xie","orcid":"https://orcid.org/0000-0003-3256-2510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feiyi Xie","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686395","display_name":"Songlin Chen","orcid":"https://orcid.org/0000-0002-2504-5630"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songlin Chen","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109549004","display_name":"Hong Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Wen","raw_affiliation_strings":["National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab of Commun., University of Elec. Science and Tech, of China, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100710084"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67253286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987000226974487,"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":0.9987000226974487,"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":0.97079998254776,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9592999815940857,"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/feature-extraction","display_name":"Feature extraction","score":0.7469899654388428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310327291488647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6434075832366943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6043530702590942},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5808030366897583},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.546565592288971},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.5049999356269836},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4962926506996155},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48149192333221436},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46514973044395447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45827174186706543},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4557497203350067},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44655153155326843},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4162828028202057},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.3809768557548523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1233675479888916},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0865260660648346}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7469899654388428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310327291488647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6434075832366943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043530702590942},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5808030366897583},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.546565592288971},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.5049999356269836},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4962926506996155},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48149192333221436},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46514973044395447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45827174186706543},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4557497203350067},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44655153155326843},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4162828028202057},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.3809768557548523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1233675479888916},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0865260660648346},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns.2018.8433156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2018.8433156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1968960382","https://openalex.org/W2006208855","https://openalex.org/W2012166391","https://openalex.org/W2046592845","https://openalex.org/W6661857393"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327","https://openalex.org/W1621827506"],"abstract_inverted_index":{"Feature":[0],"extraction,":[1],"as":[2],"an":[3,45],"important":[4,46],"part":[5],"of":[6,22,48,112],"the":[7,14,20,30,34,40,54,60,66,70,73,84,90,98,113],"RF":[8,61],"fingerprinting":[9],"process,":[10],"aims":[11],"to":[12,28,78],"extract":[13],"subtle":[15],"features":[16],"that":[17,83],"can":[18,87],"reflect":[19],"difference":[21],"different":[23],"radio":[24],"frequency(RF)":[25],"devices.":[26],"How":[27],"reduce":[29,33,89],"sample":[31],"dimension,":[32],"test":[35],"training":[36],"time":[37,94],"while":[38,96],"ensuring":[39,97],"classification":[41,100],"recognition":[42],"rate":[43],"is":[44,76,104],"aspect":[47],"its":[49],"research.":[50],"In":[51],"this":[52],"paper,":[53],"wavelet":[55],"coefficients":[56],"are":[57],"extracted":[58],"from":[59],"transmit":[62],"signal.":[63],"By":[64],"combining":[65],"ReliefF":[67],"algorithm":[68],"with":[69],"PCA":[71],"algorithm,":[72],"signal":[74],"dimension":[75,92],"reduced":[77],"29%.":[79],"Experimental":[80],"results":[81],"show":[82],"proposed":[85],"method":[86],"effectively":[88],"data":[91],"and":[93],"consumption":[95],"SVM":[99],"accuracy,":[101],"which":[102],"it":[103],"specially":[105],"suitable":[106],"for":[107],"applying":[108],"in":[109],"lightweight":[110],"identification":[111],"terminal":[114],"environments.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}