{"id":"https://openalex.org/W4312945619","doi":"https://doi.org/10.1109/icpr56361.2022.9956207","title":"Cross-session Specific Emitter Identification using Adversarial Domain Adaptation with Wasserstein distance","display_name":"Cross-session Specific Emitter Identification using Adversarial Domain Adaptation with Wasserstein distance","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312945619","doi":"https://doi.org/10.1109/icpr56361.2022.9956207"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956207","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062262445","display_name":"Yalan Ye","orcid":"https://orcid.org/0000-0001-5974-1717"},"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":"Yalan Ye","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and 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/A5080518659","display_name":"Chunji Wang","orcid":null},"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":"Chunji Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and 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/A5005267734","display_name":"Hai Dong","orcid":"https://orcid.org/0000-0002-7033-5688"},"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"]},{"id":"https://openalex.org/I4387154110","display_name":"Southwest China Institute of Electronic Technology","ror":"https://ror.org/04jbf9x18","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154110"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Dong","raw_affiliation_strings":["Southwest China Institute of Electronic Technology,Intelligence Key Lab,Chengdu,China","Intelligence Key Lab, Southwest China Institute of Electronic Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest China Institute of Electronic Technology,Intelligence Key Lab,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Intelligence Key Lab, Southwest China Institute of Electronic Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4387154110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009390861","display_name":"Li Lu","orcid":"https://orcid.org/0000-0002-4361-012X"},"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":"Li Lu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and 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/A5100459295","display_name":"Qiang Zhao","orcid":"https://orcid.org/0000-0003-4881-1104"},"institutions":[{"id":"https://openalex.org/I160674187","display_name":"China Three Gorges Corporation (China)","ror":"https://ror.org/02yqt2385","country_code":"CN","type":"company","lineage":["https://openalex.org/I160674187"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhao","raw_affiliation_strings":["China Three Gorges Materials and Tendering Co.,Ltd,Chengdu,China","China Three Gorges Materials and Tendering Co.,Ltd, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Three Gorges Materials and Tendering Co.,Ltd,Chengdu,China","institution_ids":["https://openalex.org/I160674187"]},{"raw_affiliation_string":"China Three Gorges Materials and Tendering Co.,Ltd, Chengdu, China","institution_ids":["https://openalex.org/I160674187"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.024,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89149339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3119","last_page":"3124"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9764000177383423,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8940243721008301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874851226806641},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5474812984466553},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5128207802772522},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5041722059249878},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4768168330192566},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46045994758605957},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43313854932785034},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41209203004837036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4108763337135315},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4037720859050751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3522261381149292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12468487024307251}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8940243721008301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874851226806641},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5474812984466553},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5128207802772522},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5041722059249878},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4768168330192566},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46045994758605957},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43313854932785034},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41209203004837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4108763337135315},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4037720859050751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3522261381149292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12468487024307251},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956207","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1880843531","https://openalex.org/W1956443157","https://openalex.org/W1968960382","https://openalex.org/W2304380770","https://openalex.org/W2788768841","https://openalex.org/W2792551306","https://openalex.org/W2886145918","https://openalex.org/W2891054065","https://openalex.org/W2901774292","https://openalex.org/W3006133350","https://openalex.org/W3009816315","https://openalex.org/W3036818015","https://openalex.org/W3145456595","https://openalex.org/W4388411529"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Accurate":[0],"and":[1,195],"robust":[2],"specific":[3],"emitter":[4],"identification":[5],"(SEI)":[6],"is":[7,23,110,143],"very":[8],"challenging":[9],"since":[10,56],"distribution":[11,58,100],"shift":[12,28,44,101],"of":[13,59,102,116,123,126,152,163,171,178,189],"signals":[14,60,103,151,162,170,177],"occurs":[15],"in":[16,45,64,104,181],"cross-session":[17,54,93,194],"scenario.":[18],"General":[19],"domain":[20,84,139],"adaptation":[21,85,140],"(DA)":[22],"proposed":[24],"to":[25,53,68,90,96,112,119,145],"alleviate":[26,97],"the":[27,43,46,57,69,92,98,114,124,157,161,169,187],"by":[29],"aligning":[30],"different":[31,65,105,153],"signal":[32],"distributions.":[33],"However,":[34],"existing":[35],"general-DA":[36],"based":[37],"SEI":[38,192],"methods":[39],"which":[40],"focus":[41],"on":[42,160,175],"same":[47,179],"session":[48,118,121,165],"cannot":[49],"be":[50],"directly":[51],"applied":[52,111],"SEI,":[55],"varies":[61],"more":[62],"drastically":[63],"sessions":[66,185],"due":[67],"continuously":[70],"changing":[71],"hardware":[72],"imperfections.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"a":[79,107,133],"novel":[80],"method":[81],"named":[82],"adversarial":[83,137],"with":[86],"wasserstein":[87,134],"distance":[88,135],"(ADAW)":[89],"tackle":[91],"SEI.":[94],"Specifically,":[95],"severer":[99],"sessions,":[106,154],"generative":[108],"model":[109,158],"map":[113],"data":[115],"previous":[117,164],"latter":[120,172],"regardless":[122],"degree":[125],"radio":[127],"frequency":[128],"fingerprints":[129],"(RFFs)":[130],"variations.":[131],"Then,":[132],"guided":[136],"unsupervised":[138],"(UDA)":[141],"strategy":[142],"introduced":[144],"learn":[146],"common":[147],"feature":[148],"representations":[149],"for":[150,191],"such":[155],"that":[156],"trained":[159],"can":[166],"precisely":[167],"identify":[168],"session.":[173],"Experiments":[174],"ADS-B":[176],"emitters":[180],"three":[182],"distinct":[183],"time":[184],"validate":[186],"capability":[188],"ADAW":[190],"under":[193],"noisy":[196],"conditions.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
