{"id":"https://openalex.org/W4312620222","doi":"https://doi.org/10.1587/transcom.2022ebp3087","title":"A Lightweight Automatic Modulation Recognition Algorithm Based on Deep Learning","display_name":"A Lightweight Automatic Modulation Recognition Algorithm Based on Deep Learning","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4312620222","doi":"https://doi.org/10.1587/transcom.2022ebp3087"},"language":"en","primary_location":{"id":"doi:10.1587/transcom.2022ebp3087","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2022ebp3087","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","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/A5100650289","display_name":"Yi Dong","orcid":"https://orcid.org/0000-0003-3047-7777"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I1320354487","display_name":"Target (United States)","ror":"https://ror.org/05mkyac79","country_code":"US","type":"company","lineage":["https://openalex.org/I1320354487"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Dong YI","raw_affiliation_strings":["School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University"],"affiliations":[{"raw_affiliation_string":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I1320354487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015361484","display_name":"Di Wu","orcid":"https://orcid.org/0000-0001-8473-1553"},"institutions":[{"id":"https://openalex.org/I1320354487","display_name":"Target (United States)","ror":"https://ror.org/05mkyac79","country_code":"US","type":"company","lineage":["https://openalex.org/I1320354487"]},{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Di WU","raw_affiliation_strings":["School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University"],"affiliations":[{"raw_affiliation_string":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I1320354487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003977684","display_name":"Tao Hu","orcid":"https://orcid.org/0009-0008-5370-8674"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I1320354487","display_name":"Target (United States)","ror":"https://ror.org/05mkyac79","country_code":"US","type":"company","lineage":["https://openalex.org/I1320354487"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tao HU","raw_affiliation_strings":["School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University"],"affiliations":[{"raw_affiliation_string":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University","institution_ids":["https://openalex.org/I169689159","https://openalex.org/I1320354487"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100650289"],"corresponding_institution_ids":["https://openalex.org/I1320354487","https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13766715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E106.B","issue":"4","first_page":"367","last_page":"373"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9391000270843506,"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/computer-science","display_name":"Computer science","score":0.9108755588531494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313122272491455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5209711194038391},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5107583999633789},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4491845369338989},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.43383482098579407},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4320039749145508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4204225242137909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32073861360549927},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0709676742553711}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9108755588531494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313122272491455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5209711194038391},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5107583999633789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4491845369338989},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.43383482098579407},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4320039749145508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4204225242137909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32073861360549927},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0709676742553711},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transcom.2022ebp3087","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2022ebp3087","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4099999964237213,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2112638238","https://openalex.org/W2117539524","https://openalex.org/W2130014182","https://openalex.org/W2147735901","https://openalex.org/W2160451571","https://openalex.org/W2194775991","https://openalex.org/W2272847350","https://openalex.org/W2545522311","https://openalex.org/W2741230443","https://openalex.org/W2761187698","https://openalex.org/W2889017409","https://openalex.org/W2916238263","https://openalex.org/W2963446712","https://openalex.org/W3003174479","https://openalex.org/W3003494250","https://openalex.org/W3023318489","https://openalex.org/W3032977069","https://openalex.org/W3104028856","https://openalex.org/W3113059984","https://openalex.org/W3122570213","https://openalex.org/W3141961557","https://openalex.org/W3163520063","https://openalex.org/W3193052805","https://openalex.org/W4285236639"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1],"recognition":[2,41,52,126],"(AMR)":[3],"plays":[4],"a":[5,33,96],"critical":[6],"role":[7],"in":[8,30,151],"modern":[9],"communication":[10],"systems.":[11,153],"Owing":[12],"to":[13,67,85,148],"the":[14,22,87,124,134],"recent":[15],"advancements":[16],"of":[17,24,36,118,141],"deep":[18],"learning":[19],"(DL)":[20],"techniques,":[21],"application":[23],"DL":[25],"has":[26],"been":[27,44],"widely":[28],"studied":[29],"AMR,":[31],"and":[32,58,78,98,120],"large":[34],"number":[35],"DL-AMR":[37,47,80,100,131],"algorithms":[38],"with":[39],"high":[40,51],"rates":[42],"have":[43,50,55],"developed.":[45],"Most":[46],"algorithm":[48,81,101],"models":[49,82],"accuracy":[53,88,127],"but":[54,133],"numerous":[56],"parameters":[57],"are":[59],"huge,":[60],"complex":[61],"models,":[62],"which":[63],"make":[64],"them":[65],"hard":[66],"deploy":[68,149],"on":[69,91],"resource-constrained":[70,152],"platforms,":[71],"such":[72],"as":[73,128],"satellite":[74],"platforms.":[75],"Some":[76],"lightweight":[77,97],"low-complexity":[79],"also":[83],"struggle":[84],"meet":[86],"requirements.":[89],"Based":[90],"this,":[92],"this":[93],"paper":[94],"proposes":[95],"high-recognition-rate":[99],"model":[102,116],"called":[103],"Lightweight":[104],"Densely":[105],"Connected":[106],"Convolutional":[107],"Network":[108],"(DenseNet)":[109],"Long":[110],"Short-Term":[111],"Memory":[112],"network":[113],"(LDLSTM).":[114],"The":[115],"cascade":[117],"DenseNet":[119],"LSTM":[121],"can":[122],"achieve":[123],"same":[125],"other":[129],"advanced":[130],"algorithms,":[132],"parameter":[135],"volume":[136],"is":[137,146],"only":[138],"1/12":[139],"that":[140],"these":[142],"algorithms.":[143],"Thus,":[144],"it":[145],"advantageous":[147],"LDLSTM":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}