一种MIMO雷达非高斯杂波中的信号分离方法

针对传统匹配滤波方法对非高斯相关杂波下MIMO雷达信号分离性能下降的问题，本文基于线性约束最小功率波束形成器原理，给出了一种适用于非高斯相关杂波条件下的MIMO雷达自适应信号分离算法。该方法将需要分离的发射信号以外的信号和相关杂波作为干扰，利用接收信号的分数低阶统计量在线性约束最小功率准则下导出了滤波器权系数，实现了非高斯相关杂波中对信号实时有效的分离。最后采用本文方法在SG-Alpha稳定分布杂波背景下进行了仿真实验，结果表明，本文方法可有效实现非高斯相关杂波中的MIMO雷达信号分离。 

A MIMO Radar Signal Separation Algorithm in Non-Gaussian Clutter

This paper addresses the problem of multiple input multiple output radar signal separation with traditional matched filtering(MF) in dependent non-Gaussian clutter,and a fractional lower order linear constrained minimum power beamforming is proposed.In the proposed method,the dependent clutter and the undesired transmitting signals are regarded as interference.By using the fractional lower order statistics of the received signals and constrains the output power of the interference,the FLO-LCMP model is derived based on the rule of linear constrained minimum power(LCMP).Finally, simulations are given for the multiple input multiple output(MIMO) radar signal separation in SG-Alpha stable distribution clutter.The results show that the performance of proposed method is not affected by the strength of non-gaussian properties of the clutter and is efficient for multiple input multiple output(MIMO) radar signal separation in dependent non-Gaussian clutter.