In view of the nonlinear and non-stationary sea clutter signal

we put forward a de-noising method of sea clutter based on ensemble empirical mode decomposition(EEMD).By EEMD

sea clutter data containing the target signal can be decomposed into a series of intrinsic mode function.Noise component uses the Savitzky Golay filter method for de-noising.The mode components after filtering and the remaining components are reconstructed into a new signal.Combined with least square support vector machine

single-step prediction model of chaotic sequence is set up.Compare the root mean square error before and after de-noising so that we can evaluate the denoising effect from the root mean square error.The experimental results show that EEMD algorithm is effective for the de-noising of the sea clutter.By de-noising

the root mean square error can be reduced by one orders of magnitude

reaching 0.0028

while the model before de-noising can reach only 0.0119.