Radar Signal Recognition Based on Dual Channel Convolutional Neural Network

Radar Signal Recognition Based on Dual Channel Convolutional Neural Network

In order to solve the problems of difficult feature extraction and low recognition rate of radar signal at low signal-to-noise ratios, a dual channel convolutional neural network model based on Choi-Williams distribution (CWD) and multisynchrosqueezing transform (MSST) is proposed, which obtains two...

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Bibliographic Details
Main Author: QUAN Daying, CHEN Yun, TANG Zeyu, LI Shitong, WANG Xiaofeng, JIN Xiaoping
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2022-07-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
low signal-to-noise ratios
choi-williams distribution (cwd)
multisynchrosqueezing transform (msst)
dual-channel convolutional neural network
Online Access:http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-7-877.shtml

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http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-7-877.shtml

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