Radar Signal Modulation Recognition Based on Improved Instantaneous Autocorrelation
Guotao Wang, Qiuxi Jiang, Bing Sun · 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) · 2021
Radar signal recognition is one of the kernel aspects of the radar emitter recognition process. In order to realize the fast and efficient recognition of intra-pulse modulation of radar signal, this paper introduces a method based on improved instantaneous autocorrelation. Firstly, the signal is roughly divided into phase modulation signals and frequency modulation signals according to the bandwidth. And then the instantaneous autocorrelation feature of the signal is extracted by the improved method. Finally, the frequency modulation and phase modulation signal types are subdivided based on the amplitude and phase characteristics of instantaneous autocorrelation. Simulation results show that the method has low computational complexity and good recognition success rate.