Research on Radar Signal Recognition Technology Based on Deep Learning

Focusing on the current problem of sorting and recognition of radar signals, the application of the time- frequency analysis method to signal recognition was studied. Compared with other radar signal recognition methods, this method can effectively analyze non-stationary signals, and at the same time offer image processing and deep learning. Through comparison of simulation experiments, this method was found to effectively identify the radar signal recognition target. Through experiments, PWVD is an ideal time- frequency analysis method, and through image preprocessing and deep learning, it can finally achieve a high recognition accuracy rate.