{"id":"https://openalex.org/W4393260295","doi":"https://doi.org/10.1186/s13634-024-01138-y","title":"Specific emitter identification based on ensemble domain adversarial neural network in multi-domain environments","display_name":"Specific emitter identification based on ensemble domain adversarial neural network in multi-domain environments","publication_year":2024,"publication_date":"2024-03-28","ids":{"openalex":"https://openalex.org/W4393260295","doi":"https://doi.org/10.1186/s13634-024-01138-y"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01138-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01138-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01138-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01138-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086886693","display_name":"D. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingshan Li","raw_affiliation_strings":["China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China"],"affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102593472","display_name":"Bin Yao","orcid":"https://orcid.org/0009-0008-9113-9556"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yao","raw_affiliation_strings":["China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China"],"affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054774974","display_name":"Pu Sun","orcid":"https://orcid.org/0009-0000-2158-3979"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Sun","raw_affiliation_strings":["China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China"],"affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026864270","display_name":"Peitong Li","orcid":"https://orcid.org/0000-0003-0730-4851"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peitong Li","raw_affiliation_strings":["China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China"],"affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086046995","display_name":"Jianfeng Yan","orcid":"https://orcid.org/0000-0001-8356-2444"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Yan","raw_affiliation_strings":["China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China"],"affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, Chaoyang District, Beijing, 100020, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016173270","display_name":"Juzhen Wang","orcid":"https://orcid.org/0000-0002-1637-5443"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juzhen Wang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016173270"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4176,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83361864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"2024","issue":"1","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":0.9995999932289124,"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":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.722294807434082},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7085102796554565},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7075345516204834},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6462055444717407},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5302488207817078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137775540351868},{"id":"https://openalex.org/keywords/common-emitter","display_name":"Common emitter","score":0.44859185814857483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3722451329231262},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14343050122261047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10972803831100464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07681044936180115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722294807434082},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7085102796554565},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7075345516204834},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6462055444717407},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5302488207817078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137775540351868},{"id":"https://openalex.org/C46918542","wikidata":"https://www.wikidata.org/wiki/Q1648344","display_name":"Common emitter","level":2,"score":0.44859185814857483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3722451329231262},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14343050122261047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10972803831100464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07681044936180115},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-024-01138-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01138-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01138-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c355938e3b6648208b8c90b107634729","is_oa":true,"landing_page_url":"https://doaj.org/article/c355938e3b6648208b8c90b107634729","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01138-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01138-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01138-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393260295.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1968960382","https://openalex.org/W2034840140","https://openalex.org/W2096773124","https://openalex.org/W2115403315","https://openalex.org/W2155886813","https://openalex.org/W2292953767","https://openalex.org/W2304380770","https://openalex.org/W2593768305","https://openalex.org/W2614522447","https://openalex.org/W2649995573","https://openalex.org/W2884771968","https://openalex.org/W2958312412","https://openalex.org/W3004205097","https://openalex.org/W3013935691","https://openalex.org/W3014127772","https://openalex.org/W3038716110","https://openalex.org/W3080327351","https://openalex.org/W3098755434","https://openalex.org/W3146023480","https://openalex.org/W3196757423","https://openalex.org/W3205236965","https://openalex.org/W4205348215","https://openalex.org/W4213377353","https://openalex.org/W4285247578","https://openalex.org/W4311080746","https://openalex.org/W4311771937","https://openalex.org/W4312307020","https://openalex.org/W4312760593","https://openalex.org/W4385975859","https://openalex.org/W4386078135","https://openalex.org/W4386432186","https://openalex.org/W4386495285","https://openalex.org/W4387623697","https://openalex.org/W6600650897","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W963760361","https://openalex.org/W3191453585","https://openalex.org/W2790856699","https://openalex.org/W4297672492"],"abstract_inverted_index":{"Abstract":[0],"Specific":[1],"emitter":[2,42],"identification":[3,43,112],"is":[4,75,128,135],"pivotal":[5],"in":[6,29,89,98],"both":[7],"military":[8],"and":[9,62,67,92,94,103,130,144,158,167,175,180],"civilian":[10],"sectors":[11],"for":[12,40,108],"discerning":[13],"the":[14,63,85,95,139,156,161,192,200],"unique":[15],"hardware":[16],"distinctions":[17],"inherent":[18],"to":[19,26,78,137,154,199],"various":[20],"launchers,":[21],"it":[22,74],"can":[23],"be":[24],"used":[25,153],"implement":[27],"security":[28],"wireless":[30],"communications.":[31],"Recently,":[32],"a":[33,57,106,123,131],"large":[34,58,96],"number":[35],"of":[36,60,87,160,208],"deep":[37],"learning-based":[38],"methods":[39,52],"specific":[41],"have":[44],"been":[45],"proposed,":[46],"achieving":[47],"good":[48],"performance.":[49],"However,":[50],"these":[51],"are":[53,65,151],"trained":[54],"based":[55,113],"on":[56,114,184],"amount":[59],"data":[61,64,90,102],"independently":[66],"identically":[68],"distributed.":[69],"In":[70,163],"actual":[71],"complex":[72,168],"environments,":[73,170],"very":[76],"difficult":[77],"obtain":[79],"reliable":[80],"labeled":[81],"data.":[82],"Aiming":[83],"at":[84],"problems":[86],"difficulty":[88],"collection":[91],"annotation,":[93],"difference":[97],"distribution":[99,143],"between":[100],"training":[101],"test":[104],"data,":[105],"method":[107,194],"individual":[109],"radiation":[110],"source":[111],"ensemble":[115],"domain":[116,124],"adversarial":[117,125],"neural":[118,126],"network":[119,127],"was":[120],"proposed.":[121],"Specifically,":[122],"designed":[129],"Transformer":[132],"encoder":[133],"module":[134],"added":[136],"make":[138],"features":[140],"obey":[141],"Gaussian":[142],"achieve":[145],"better":[146],"feature":[147],"alignment.":[148],"Ensemble":[149],"classifiers":[150],"then":[152],"enhance":[155],"generalization":[157],"reliability":[159],"model.":[162],"addition,":[164],"three":[165],"real":[166],"migration":[169],"Alpine\u2013Montane":[171],"Channel,":[172,174,177],"Plain-Hillock":[173],"Urban-Dense":[176],"were":[178,182],"constructed,":[179],"experiments":[181],"conducted":[183],"WiFi":[185],"dataset.":[186],"The":[187],"simulation":[188],"results":[189],"show":[190],"that":[191],"proposed":[193],"exhibits":[195],"superior":[196],"performance":[197],"compared":[198],"other":[201],"six":[202],"methods,":[203],"with":[204],"an":[205],"accuracy":[206],"improvement":[207],"about":[209],"3%.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}