{"id":"https://openalex.org/W3094399866","doi":"https://doi.org/10.1109/tvt.2020.3032197","title":"JRNet: Jamming Recognition Networks for Radar Compound Suppression Jamming Signals","display_name":"JRNet: Jamming Recognition Networks for Radar Compound Suppression Jamming Signals","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3094399866","doi":"https://doi.org/10.1109/tvt.2020.3032197","mag":"3094399866"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2020.3032197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.3032197","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","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/A5031383462","display_name":"Qizhe Qu","orcid":"https://orcid.org/0000-0001-6307-1170"},"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":"Qizhe Qu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080246113","display_name":"Shunjun Wei","orcid":"https://orcid.org/0000-0001-8091-9540"},"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":"Shunjun Wei","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449803","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-8040-0367"},"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":"Shan Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009641784","display_name":"Jiadian Liang","orcid":"https://orcid.org/0000-0002-6121-3080"},"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":"Jiadian Liang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066834799","display_name":"Junren Shi","orcid":"https://orcid.org/0000-0002-0385-3055"},"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":"Jun Shi","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031383462"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":10.0717,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.98528324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"69","issue":"12","first_page":"15035","last_page":"15045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/jamming","display_name":"Jamming","score":0.9524210691452026},{"id":"https://openalex.org/keywords/radar-jamming-and-deception","display_name":"Radar jamming and deception","score":0.684544563293457},{"id":"https://openalex.org/keywords/near-far-problem","display_name":"Near-far problem","score":0.554783046245575},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5316945314407349},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.530473530292511},{"id":"https://openalex.org/keywords/digital-radio-frequency-memory","display_name":"Digital radio frequency memory","score":0.5124509930610657},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5018534660339355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.466242253780365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42599111795425415},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.390322208404541},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.36081430315971375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35026705265045166},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20758235454559326},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.1556795835494995},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.12912210822105408},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.11179104447364807},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08078676462173462}],"concepts":[{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.9524210691452026},{"id":"https://openalex.org/C176381164","wikidata":"https://www.wikidata.org/wiki/Q1486507","display_name":"Radar jamming and deception","level":5,"score":0.684544563293457},{"id":"https://openalex.org/C89719804","wikidata":"https://www.wikidata.org/wiki/Q6984333","display_name":"Near-far problem","level":3,"score":0.554783046245575},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5316945314407349},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.530473530292511},{"id":"https://openalex.org/C30406889","wikidata":"https://www.wikidata.org/wiki/Q3707600","display_name":"Digital radio frequency memory","level":5,"score":0.5124509930610657},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5018534660339355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.466242253780365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42599111795425415},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.390322208404541},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36081430315971375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35026705265045166},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20758235454559326},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.1556795835494995},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.12912210822105408},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.11179104447364807},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08078676462173462},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2020.3032197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.3032197","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G300433829","display_name":null,"funder_award_id":"2015M570778","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G590398022","display_name":null,"funder_award_id":"61501098","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W2018653837","https://openalex.org/W2031483369","https://openalex.org/W2062955716","https://openalex.org/W2165189186","https://openalex.org/W2194775991","https://openalex.org/W2364868505","https://openalex.org/W2524665608","https://openalex.org/W2535627753","https://openalex.org/W2542436884","https://openalex.org/W2560015306","https://openalex.org/W2566654746","https://openalex.org/W2589939215","https://openalex.org/W2766703096","https://openalex.org/W2901472163","https://openalex.org/W2919115771","https://openalex.org/W2964121744","https://openalex.org/W2970653502","https://openalex.org/W2979580159","https://openalex.org/W2981609437","https://openalex.org/W2990554528","https://openalex.org/W2998049161","https://openalex.org/W3016205200","https://openalex.org/W3023922173","https://openalex.org/W3027590803","https://openalex.org/W3048034530","https://openalex.org/W6631190155","https://openalex.org/W6728958430","https://openalex.org/W6728982503"],"related_works":["https://openalex.org/W2355227927","https://openalex.org/W2055550092","https://openalex.org/W2376884913","https://openalex.org/W2358221753","https://openalex.org/W2375560588","https://openalex.org/W2361769827","https://openalex.org/W2534860221","https://openalex.org/W2969564014","https://openalex.org/W2111063394","https://openalex.org/W3094399866"],"abstract_inverted_index":{"As":[0],"electromagnetic":[1],"environments":[2],"in":[3,183],"battlefields":[4],"are":[5,11,44],"more":[6,8,12,160,208],"and":[7,23,39,52,93,109,125,138,170,191,205,210],"complex,":[9],"there":[10],"kinds":[13,83],"of":[14,84,106,113,155],"suppression":[15,28,85],"jamming":[16,21,25,29,34,69,86,91,96,114],"noise":[17],"including":[18,88],"both":[19],"single":[20,90],"signals":[22,35,87,115],"compound":[24,33,95],"signals.":[26],"Thus,":[27],"recognition":[30,50,70,119,141,153,193],"especially":[31,57,195],"for":[32,143],"is":[36,78,131,159,167,171],"becoming":[37],"vital":[38],"challenging.":[40],"Whereas":[41],"conventional":[42],"methods":[43,182],"prone":[45],"to":[46,80,116,133,173],"owning":[47],"the":[48,53,102,107,118,129,135,140,151,156,165,186],"low":[49,59,197],"accuracy":[51,154],"high":[54],"computational":[55],"complexity,":[56],"under":[58,196],"jamming-to-noise":[60],"ratio":[61],"(JNR)":[62],"conditions.":[63],"In":[64],"this":[65],"paper,":[66],"a":[67,206],"novel":[68],"network":[71],"(JRNet)":[72],"based":[73],"on":[74],"robust":[75],"power-spectrum":[76,111],"features":[77,112],"proposed":[79,99,157,187],"recognize":[81],"ten":[82],"four":[89],"patterns":[92],"six":[94],"patterns.":[97],"The":[98,146],"method":[100,158],"combines":[101],"significant":[103],"representative":[104],"power":[105],"JRNet":[108,130,188],"distinguished":[110],"promote":[117],"performance.":[120],"By":[121],"integrating":[122],"residual":[123],"blocks":[124],"asymmetric":[126],"convolution":[127],"blocks,":[128],"capable":[132],"address":[134],"degradation":[136],"problem":[137],"enhance":[139],"ability":[142],"subtle":[144],"features.":[145],"simulation":[147],"results":[148],"show":[149],"that":[150],"overall":[152],"than":[161],"90%":[162],"even":[163],"when":[164],"JNR":[166,198],"-18":[168],"dB":[169],"close":[172],"100%":[174],"at":[175],"-6":[176],"dB.":[177],"Compared":[178],"with":[179,200],"five":[180],"comparison":[181],"recent":[184],"literatures,":[185],"achieves":[189],"better":[190],"stable":[192],"performance":[194],"conditions":[199],"relatively":[201],"less":[202],"storage":[203],"source":[204],"bit":[207],"FLOPs":[209],"inference":[211],"time.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":13}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
