Micro-motion parameters estimation in non-Gaussian noise via mutual correntropy

This paper mainly considers the parameters estimation for the micro-motion targets embedded in non-Gaussian noise with the single input multiple output (SIMO) radar. A novel estimation algorithm based on mutual correntropy is presented to derive the micro perturbation parameters by exploiting the second and higher-order knowledge of the return signals among the multiple channels. Compared with conventional Fourier transform (FT) method, it has much higher signal to noise ratio (SNR) gain. In addition, the location is derived by employing the phase comparison monopulse (PCM) technique. Finally, several numerical results are provided and discussed.