{"id":"https://openalex.org/W4312744277","doi":"https://doi.org/10.1109/icspcc55723.2022.9984423","title":"Specific Emitter Identification Based on Homomorphic Filtering and Support Vector Machine-2K","display_name":"Specific Emitter Identification Based on Homomorphic Filtering and Support Vector Machine-2K","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4312744277","doi":"https://doi.org/10.1109/icspcc55723.2022.9984423"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc55723.2022.9984423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984423","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5024733734","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-4706-2658"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Wu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089464780","display_name":"Zepeng Hu","orcid":"https://orcid.org/0000-0002-5391-0409"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Hu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026335787","display_name":"Qun Wan","orcid":"https://orcid.org/0000-0002-6607-5422"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Wan","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024733734"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32676147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9994000196456909,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8487474322319031},{"id":"https://openalex.org/keywords/common-emitter","display_name":"Common emitter","score":0.7426494359970093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126635909080505},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.7023898959159851},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6294451951980591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6172134876251221},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6077136397361755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5771299600601196},{"id":"https://openalex.org/keywords/homomorphic-filtering","display_name":"Homomorphic filtering","score":0.5633314847946167},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46940362453460693},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4648837745189667},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.41753101348876953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15524756908416748},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.154643714427948}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8487474322319031},{"id":"https://openalex.org/C46918542","wikidata":"https://www.wikidata.org/wiki/Q1648344","display_name":"Common emitter","level":2,"score":0.7426494359970093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126635909080505},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.7023898959159851},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6294451951980591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6172134876251221},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6077136397361755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5771299600601196},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.5633314847946167},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46940362453460693},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4648837745189667},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.41753101348876953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15524756908416748},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.154643714427948},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc55723.2022.9984423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984423","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1993551758","https://openalex.org/W2049659851","https://openalex.org/W2108633801","https://openalex.org/W2130871637","https://openalex.org/W2143522295","https://openalex.org/W2153954448","https://openalex.org/W2304380770","https://openalex.org/W2490662969","https://openalex.org/W2541878806","https://openalex.org/W2759550732","https://openalex.org/W2886145918","https://openalex.org/W2914304175","https://openalex.org/W2964207828","https://openalex.org/W2997791733","https://openalex.org/W3036818015","https://openalex.org/W3206669332","https://openalex.org/W4212779575","https://openalex.org/W4225730496","https://openalex.org/W6681427677","https://openalex.org/W6772163213"],"related_works":["https://openalex.org/W2352447358","https://openalex.org/W2531373865","https://openalex.org/W4256445865","https://openalex.org/W1864623429","https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006"],"abstract_inverted_index":{"Specific":[0],"emitter":[1],"identification":[2],"(SEI)":[3],"is":[4,30,49,65],"the":[5,15,20,36,39,46,73,80,88],"process":[6],"of":[7],"identifying":[8],"or":[9],"discriminating":[10],"different":[11],"emitters":[12,69],"by":[13,51],"extracting":[14],"radio":[16],"frequency":[17],"fingerprints":[18],"from":[19],"received":[21],"signals.":[22],"A":[23],"novel":[24],"SEI":[25],"scheme":[26],"with":[27],"two":[28,62],"steps":[29],"proposed":[31,81],"in":[32],"this":[33],"paper.":[34],"In":[35],"first":[37],"step,":[38],"new":[40],"fingerprint":[41],"features":[42],"are":[43],"extracted":[44],"as":[45],"emitter-irrelated":[47],"information":[48],"suppressed":[50],"homomorphic":[52],"filtering.":[53],"Then,":[54],"Two":[55],"View":[56],"SVM-2K":[57],"(Support":[58],"Vector":[59],"Machine":[60],"on":[61,72],"Kernels)":[63],"classifier":[64],"exploited":[66],"to":[67],"classify":[68],"effectively":[70],"based":[71],"above":[74],"features.":[75],"Simulation":[76],"results":[77],"show":[78],"that":[79],"method":[82],"achieved":[83],"better":[84],"classification":[85],"performance":[86],"than":[87],"benchmark":[89],"method.":[90]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}