{"title":"Modulation Recognition Algorithm of Radar Signal Based on ICanny-CNN","authors":"Xinrui Mao, Jingpeng Gao, Junwei Qi","doi":"10.23919/ISAP47258.2021.9614462","DOIUrl":null,"url":null,"abstract":"Aiming at the low recognition rate on the composite signal modulation in low Signal to Noise Ratio (SNR), this paper proposes a modulation recognition algorithm based on ICanny-CNN. The simulation results show that the proposed algorithm can reach 90.83% at 0dB and 71.52% at -8dB. Therefore, the proposed algorithm has a good classification and anti-noise performance in radar signal modulation recognition and other fields.","PeriodicalId":132941,"journal":{"name":"2021 International Symposium on Antennas and Propagation (ISAP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Antennas and Propagation (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISAP47258.2021.9614462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the low recognition rate on the composite signal modulation in low Signal to Noise Ratio (SNR), this paper proposes a modulation recognition algorithm based on ICanny-CNN. The simulation results show that the proposed algorithm can reach 90.83% at 0dB and 71.52% at -8dB. Therefore, the proposed algorithm has a good classification and anti-noise performance in radar signal modulation recognition and other fields.