{"id":"https://openalex.org/W3023922173","doi":"https://doi.org/10.1109/access.2020.2990629","title":"Convolutional Neural Network-Based Radar Jamming Signal Classification With Sufficient and Limited Samples","display_name":"Convolutional Neural Network-Based Radar Jamming Signal Classification With Sufficient and Limited Samples","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023922173","doi":"https://doi.org/10.1109/access.2020.2990629","mag":"3023922173"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2990629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079547.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079547.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091816840","display_name":"Guangqing Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangqing Shao","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027034650","display_name":"Yushi Chen","orcid":"https://orcid.org/0000-0003-2421-0996"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Chen","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101516565","display_name":"Yinsheng Wei","orcid":"https://orcid.org/0000-0001-8844-7576"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsheng Wei","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091816840"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.9228,"has_fulltext":true,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98503742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"80588","last_page":"80598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/radar","display_name":"Radar","score":0.7729591131210327},{"id":"https://openalex.org/keywords/jamming","display_name":"Jamming","score":0.7531628608703613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484149932861328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7089309692382812},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6775792241096497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.595116913318634},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5045665502548218},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47180691361427307},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4400072395801544},{"id":"https://openalex.org/keywords/digital-radio-frequency-memory","display_name":"Digital radio frequency memory","score":0.4341803789138794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4224832355976105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4023354649543762},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.3609541654586792},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.30505284667015076},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13194766640663147}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7729591131210327},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.7531628608703613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484149932861328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7089309692382812},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6775792241096497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.595116913318634},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5045665502548218},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47180691361427307},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4400072395801544},{"id":"https://openalex.org/C30406889","wikidata":"https://www.wikidata.org/wiki/Q3707600","display_name":"Digital radio frequency memory","level":5,"score":0.4341803789138794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4224832355976105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4023354649543762},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3609541654586792},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.30505284667015076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13194766640663147},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2990629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079547.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c0761a43138a4cf29933ce81a374092d","is_oa":true,"landing_page_url":"https://doaj.org/article/c0761a43138a4cf29933ce81a374092d","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 80588-80598 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2990629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079547.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G978713049","display_name":null,"funder_award_id":"61971164","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023922173.pdf","grobid_xml":"https://content.openalex.org/works/W3023922173.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1512918758","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1904365287","https://openalex.org/W2031483369","https://openalex.org/W2117758663","https://openalex.org/W2148579744","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2165189186","https://openalex.org/W2170778725","https://openalex.org/W2187089797","https://openalex.org/W2295107390","https://openalex.org/W2312351803","https://openalex.org/W2524665608","https://openalex.org/W2546399733","https://openalex.org/W2566654746","https://openalex.org/W2573268259","https://openalex.org/W2589939215","https://openalex.org/W2743368857","https://openalex.org/W2798611607","https://openalex.org/W2901472163","https://openalex.org/W2914444812","https://openalex.org/W2919115771","https://openalex.org/W2957621927","https://openalex.org/W2979580159","https://openalex.org/W2980432044","https://openalex.org/W2987729133","https://openalex.org/W2997959498","https://openalex.org/W3146698427","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640036494","https://openalex.org/W6684191040","https://openalex.org/W6995549840"],"related_works":["https://openalex.org/W2355227927","https://openalex.org/W2055550092","https://openalex.org/W2375560588","https://openalex.org/W2376884913","https://openalex.org/W2358221753","https://openalex.org/W2361769827","https://openalex.org/W2373948234","https://openalex.org/W2388275163","https://openalex.org/W2353343310","https://openalex.org/W2969564014"],"abstract_inverted_index":{"Jamming":[0],"is":[1,11,23,85,111,119],"a":[2,12,83,115,161],"big":[3],"threat":[4],"to":[5,28,60,72,101,126],"radar":[6,20,74,88,122,165],"system":[7],"survival":[8],"and":[9,52,113,140,159],"anti-jamming":[10],"part":[13,34],"of":[14,19,35,64,95,107,131,156],"the":[15,24,62,93,102,105,129,146],"solution.":[16],"The":[17,135],"classification":[18,91,125,148,152,157],"jamming":[21,75,89,123,166],"signal":[22,76,90,124,167],"first":[25],"step":[26],"toward":[27],"anti-jamming.":[29],"Recently,":[30],"as":[31],"an":[32],"important":[33],"deep":[36,65],"learning,":[37,66],"convolutional":[38],"neural":[39],"network":[40,118],"(CNN)":[41],"based":[42,68],"methods":[43,69,149],"have":[44],"shown":[45],"their":[46],"capability":[47],"in":[48,58,154],"discriminant":[49],"feature":[50],"extraction":[51],"accurate":[53],"classification.":[54,168],"In":[55],"this":[56],"study,":[57],"order":[59],"harness":[61],"powerfulness":[63],"CNN":[67],"are":[70],"proposed":[71,120],"classify":[73],"acting":[77],"on":[78],"pulse":[79],"compression":[80],"radar.":[81],"Specifically,":[82],"1D-CNN":[84],"designed":[86],"for":[87,121,164],"under":[92],"condition":[94],"sufficient":[96,108,139],"training":[97,109,133,142],"samples.":[98,134],"Furthermore,":[99],"due":[100],"fact":[103],"that":[104,145],"collection":[106],"samples":[110,143],"time-consuming":[112],"expensive,":[114],"CNN-based":[116,147],"siamese":[117],"deal":[127],"with":[128,138],"issue":[130],"limited":[132,141],"experimental":[136],"results":[137],"show":[144,160],"obtain":[150],"good":[151],"performance":[153],"terms":[155],"accuracy":[158],"huge":[162],"potential":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}