{"id":"https://openalex.org/W3102333180","doi":"https://doi.org/10.1109/iccc49849.2020.9238813","title":"Time-frequency Overlapped Signals Intelligent Modulation Recognition in Underlay CRN","display_name":"Time-frequency Overlapped Signals Intelligent Modulation Recognition in Underlay CRN","publication_year":2020,"publication_date":"2020-08-09","ids":{"openalex":"https://openalex.org/W3102333180","doi":"https://doi.org/10.1109/iccc49849.2020.9238813","mag":"3102333180"},"language":"en","primary_location":{"id":"doi:10.1109/iccc49849.2020.9238813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc49849.2020.9238813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-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/A5001807732","display_name":"Huaiyu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiyu Tang","raw_affiliation_strings":["China Research Institute of Radiowave Propagation, Xinxiang, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Research Institute of Radiowave Propagation, Xinxiang, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060002668","display_name":"Mingqian Liu","orcid":"https://orcid.org/0000-0001-9872-9710"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqian Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625779","display_name":"Li-Wei Chen","orcid":"https://orcid.org/0000-0002-3618-0256"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Chen","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108094972","display_name":"J.-Y. Li","orcid":"https://orcid.org/0009-0005-5721-1639"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianying Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100762328","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0003-1484-6122"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1304,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5651127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1297","last_page":"1302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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":0.996399998664856,"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":0.9552000164985657,"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/computer-science","display_name":"Computer science","score":0.729438841342926},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.6787958145141602},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6475000381469727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289414763450623},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6271619200706482},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5343543291091919},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5084332823753357},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5042346715927124},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47745612263679504},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4507170617580414},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.4178297519683838},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41203078627586365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25053584575653076},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1864526867866516},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.18297532200813293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10764479637145996},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.06914928555488586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729438841342926},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6787958145141602},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6475000381469727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289414763450623},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6271619200706482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5343543291091919},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5084332823753357},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5042346715927124},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47745612263679504},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4507170617580414},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.4178297519683838},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41203078627586365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25053584575653076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1864526867866516},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.18297532200813293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10764479637145996},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.06914928555488586},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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/iccc49849.2020.9238813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc49849.2020.9238813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CIC International Conference on Communications in China (ICCC)","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335471","display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2013428803","https://openalex.org/W2016720185","https://openalex.org/W2160585577","https://openalex.org/W2307425316","https://openalex.org/W2402149712","https://openalex.org/W2562146178","https://openalex.org/W2580817561","https://openalex.org/W2596948712","https://openalex.org/W2603396821","https://openalex.org/W2612824601","https://openalex.org/W2613648863","https://openalex.org/W2765990935","https://openalex.org/W2788499634","https://openalex.org/W2943444713","https://openalex.org/W2943652919","https://openalex.org/W2954913488","https://openalex.org/W2963090019","https://openalex.org/W2989135934","https://openalex.org/W3016118099"],"related_works":["https://openalex.org/W4387474130","https://openalex.org/W2004723848","https://openalex.org/W2086788376","https://openalex.org/W2093157008","https://openalex.org/W1518527075","https://openalex.org/W2162174235","https://openalex.org/W2143773860","https://openalex.org/W2068642629","https://openalex.org/W2012415775","https://openalex.org/W2054254129"],"abstract_inverted_index":{"In":[0],"underlay":[1],"cognitive":[2],"radio":[3],"networks":[4],"(CRN),":[5],"a":[6],"novel":[7],"intelligent":[8],"modulation":[9,32,104],"recognition":[10,33,105,118],"method":[11,123],"of":[12,35,43,46,93,106,120,146],"time-frequency":[13,37,108],"overlapped":[14,38,109,144],"MPSK/MQAM":[15,110],"signals":[16,49],"based":[17],"on":[18],"convolutional":[19],"neural":[20],"network":[21],"(CNN)":[22],"is":[23,60,85,101,124,132,136],"proposed":[24,122],"in":[25],"this":[26],"paper.":[27],"Aiming":[28],"to":[29,62,75,89,138],"achieve":[30],"better":[31],"performance":[34],"the":[36,40,47,51,58,67,72,81,83,91,94,97,107,116,121,128,139,147],"signals,":[39],"contour":[41,73],"maps":[42,74],"cyclic":[44],"spectrum":[45,143],"received":[48],"as":[50,66,77],"initial":[52],"features":[53,65],"are":[54],"extracted,":[55],"and":[56,87,134,142],"then":[57],"CNN":[59,84,100],"used":[61,102],"extract":[63],"further":[64],"final":[68],"features.":[69],"After":[70],"preprocessing":[71],"serve":[76],"input":[78],"data":[79],"for":[80,103],"CNN,":[82],"constructed":[86],"optimized":[88],"complete":[90],"training":[92],"CNN.":[95],"Finally,":[96],"well":[98],"trained":[99],"signals.":[111,149],"Simulation":[112],"results":[113],"show":[114],"that":[115],"average":[117],"rate":[119,145],"90":[125],"%":[126],"when":[127],"signal-to-noise":[129],"ratio":[130,141],"(SNR)":[131],"2dB,":[133],"it":[135],"robust":[137],"power":[140],"component":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}