基于互相关熵的非高斯背景下微动参数估计方法

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

针对非高斯背景下微动目标的参数估计问题,该文采用单发多收(SIMO)的线性调频连续波(LFMCW)雷达系统,提出了一种基于互相关熵的微动参数估计方法。该方法利用多通道回波信号的2阶和高阶信息,对回波中所含的目标信息实现更准确的量化,从而得到更好的微动参数估计效果。在非高斯背景下,相比传统傅里叶变换的方法,该方法能在微动目标的成像效果中实现更好的雷达成像效果以及更高的输出信噪比。同时,该文采用单脉冲比相(PCM)定位的方法,通过提取多通道回波的相位信息,计算不同通道间的相位差和目标的方位角,从而实现了对微动目标的准确定位。最后,仿真结果证明了该方法的有效性。

This study considered parameter estimations for micro-motion targets embedded in non-Gausslan 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.