Ballistic Target Signal Separation Based on Fast Independent Component Analysis Algorithm

In the process of modern anti-missile warfare, accurate identification of ballistic targets is crucial, and achieving the separation of target micro-Doppler curves is a key step for accurate identification. Aiming at this problem, this paper proposes a Fast-ICA algorithm to separate the micro-Doppler curves of the scattering points. According to the results of the simulation experiment, the signal is separated well, which verifies the effectiveness of the proposed algorithm.