Micro-motion Parameter Estimation in Non-Gaussian Noise via Mutual Correntropy

Abstract

This study considered parameter estimations for micro-motion targets embedded in non-Gaussian noise with a Single Input Multiple Output (SIMO) radar. A novel estimation algorithm based on mutual correntropy was presented and used to derive the micro-perturbation parameters by exploiting the second and higher-order knowledge of the return signals among multiple channels. Compared with a conventional Fourier Transform (FT) method, the method proposed herein had a much higher Signal to Noise Ratio (SNR) gain. In addition, the location was derived by employing the Phase-Comparison Monopulse (PCM) technique. Finally, several numerical results were provided and discussed.