Clutter Suppression Based on Singular Value Decomposition and Fast Wavelet Algorithm

Aiming at the problem that the target signal is difficult to be detected under the strong ground clutter environment, this paper proposes a clutter suppression algorithm based on the combination of singular value decomposition and Mallat fast wavelet algorithm.The method firstly performs singular value decomposition on the echo data matrix, and realizes the initial separation of target and clutter through the threshold processing of singular value. After that, wavelet decomposition is performed on the echo data to find out the target location, and the discard method is used to select the appropriate wavelet decomposition layer for target reconstruction, which ensures that the loss of target information is minimized while suppressing the clutter. Through experimental verification of the measured data, the method has significant effect on target extraction under low SCR conditions, and it can realize the separation of target and clutter in the absence of target a priori position information. The output SCR of the method is also improved compared with the traditional wavelet processing method.