Separation and feature extraction of micro‐motion signal of ballistic target

During the process of the ballistic target's mid-flight, it is very important to accurately identify the target. The separation of target micro-Doppler curves and the extraction of characteristic parameters are the key to accurate identification. Aiming at the slow convergence speed of the traditional Fast-ICA algorithm, this paper proposes an improved Fast-ICA algorithm, which realizes the separation of the micro-Doppler curve of the scattering points. On this basis, the trajectory of scattering points in space is analyzed, the expression of the target feature value is established, and the target feature parameters are effectively extracted. According to the results of the simulation experiment, the algorithm can achieve better signal separation and the characteristic parameters of the target are effectively extracted.