Denoising of Sea Clutter Based on Improved Integrated Empirical Mode Decomposition

In view of the characteristics of sea clutter signals which are difficult to extract due to mixed noises, an improved global mean empirical mode decomposition (MEEMD) based denoising method for sea clutter is proposed. The MEEMD proposed in this paper is based on the CEEMD decomposition and uses permutation entropy and Savitzky-Golay filtering to deal with it. Finally, the denoised signal is obtained after EMD decomposition and reconstruction. In order to get the IPIX radar sea clutter data simulation experiment, combined with least squares support vector machine to establish single chaotic sequence prediction model, the prediction errors from detection of weak signal submerged in the sea clutter wave in the background, and the root mean square error of judgment denoising effect. The simulation results show that the proposed MEEMD has good inhibition effect on mode confusion, the root mean square error after denoising was 0. 000 847, 0. 012 2 more than the root mean square error of denoising before two orders of magnitude lower.