{"id":"https://openalex.org/W4381163359","doi":"https://doi.org/10.1109/lsp.2023.3287404","title":"A Novel Radar Signals Sorting Method via Residual Graph Convolutional Network","display_name":"A Novel Radar Signals Sorting Method via Residual Graph Convolutional Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381163359","doi":"https://doi.org/10.1109/lsp.2023.3287404"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3287404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3287404","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5024840222","display_name":"Ping Lang","orcid":"https://orcid.org/0000-0002-5940-1824"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Lang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052386527","display_name":"Xiongjun Fu","orcid":"https://orcid.org/0000-0002-0607-9296"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongjun Fu","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008141914","display_name":"Jian Dong","orcid":"https://orcid.org/0000-0002-3302-4477"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dong","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047368790","display_name":"Huizhang Yang","orcid":"https://orcid.org/0000-0001-9725-088X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhang Yang","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107061611","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-0036-9233"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024840222"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.9148,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97016653,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"753","last_page":"757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.8648600578308105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7727924585342407},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6612178087234497},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.574312686920166},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5698400139808655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4897918701171875},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.47786015272140503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39039233326911926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3872677683830261},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37211698293685913},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18728387355804443},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10490891337394714}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.8648600578308105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727924585342407},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6612178087234497},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.574312686920166},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5698400139808655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4897918701171875},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.47786015272140503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39039233326911926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3872677683830261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37211698293685913},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18728387355804443},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10490891337394714},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3287404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3287404","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4586786464","display_name":null,"funder_award_id":"62171023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5655009983","display_name":null,"funder_award_id":"62222102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2000424290","https://openalex.org/W2004967596","https://openalex.org/W2041206518","https://openalex.org/W2063146632","https://openalex.org/W2165835468","https://openalex.org/W2172318764","https://openalex.org/W2754370276","https://openalex.org/W2784110241","https://openalex.org/W2883191931","https://openalex.org/W2895211628","https://openalex.org/W2904891457","https://openalex.org/W2907492528","https://openalex.org/W2910695182","https://openalex.org/W2916204331","https://openalex.org/W2990973691","https://openalex.org/W2997791733","https://openalex.org/W3011667710","https://openalex.org/W3037226137","https://openalex.org/W3042290507","https://openalex.org/W3080284338","https://openalex.org/W3082540355","https://openalex.org/W3111706701","https://openalex.org/W3156129346","https://openalex.org/W3161934990","https://openalex.org/W3164071761","https://openalex.org/W3174003812","https://openalex.org/W3175403797","https://openalex.org/W3209337022","https://openalex.org/W4206528934","https://openalex.org/W4220983482","https://openalex.org/W4240260935","https://openalex.org/W4293145916"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W2385449752","https://openalex.org/W4300237897"],"abstract_inverted_index":{"The":[0,106],"dense,":[1],"complex":[2],"and":[3,90],"variable":[4],"electromagnetic":[5],"environment":[6],"poses":[7],"a":[8,30,37],"serious":[9],"challenge":[10],"to":[11,23,43,79,133],"radar":[12,65,104],"signal":[13,51],"sorting":[14,52],"(RSS)":[15],"in":[16,54],"modern":[17],"electronic":[18],"reconnaissance":[19],"systems.":[20],"In":[21],"order":[22],"improve":[24,45,81],"RSS":[25,34,86],"performance,":[26],"this":[27],"letter":[28],"proposes":[29],"semi-supervised":[31],"learning":[32],"framework-based":[33],"method":[35,114],"via":[36,69],"residual":[38],"graph":[39,60,100],"convolutional":[40],"network":[41],"(ResGCN-RSS)":[42],"effectively":[44,89],"the":[46,50,59,74,82,126],"generalization":[47],"ability":[48],"of":[49,63,102],"models":[53],"small":[55,98],"data":[56,101,128],"scenarios.":[57],"Firstly,":[58],"structure":[61],"construction":[62],"intercepted":[64],"signals":[66],"is":[67,77,129],"performed":[68],"K-nearest":[70],"neighbor":[71],"algorithm.":[72],"Then,":[73],"three-layer":[75],"ResGCN":[76,96],"designed":[78],"adaptively":[80],"features":[83],"learning.":[84],"Finally,":[85],"can":[87,115],"be":[88],"efficiently":[91],"implemented":[92],"through":[93],"an":[94],"end-to-end":[95],"with":[97,120],"labeled":[99,127],"interleaved":[103],"signals.":[105],"simulation":[107],"experimental":[108],"results":[109],"show":[110],"that":[111],"our":[112],"proposed":[113],"achieve":[116],"better":[117],"average":[118],"accuracy":[119],"little":[121],"computational":[122],"cost":[123],"increasing":[124],"when":[125],"very":[130],"small,":[131],"compared":[132],"some":[134],"existing":[135],"methods.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
