以α稳定分布作为脉冲噪声数学模型,研究了脉冲噪声环境下单基础多输入多输出(MIMO)雷达目标角度估计问题。为了解决基于分数低阶统计量的目标角度估计算法需要脉冲噪声先验信息的问题,利用雷达接收数据构造出两种鲁棒的相关矩阵,即相关熵相关矩阵和非线性压缩核函数相关矩阵,提出了基于这两种鲁棒相关矩阵的单基地MIMO雷达目标角度估计算法。仿真实验表明:在α稳定分布脉冲噪声环境下,新提出的责任中算法的性能明显优于传统的基于二阶统计量和基于分数低阶统计量的目标角度估计算法。

The target angle estimation problem for monostatic MIMO radar in impulsive noise modeled as α-stable distribution is studied in this paper. In order to solve the problem that fractional lower order statistics based algorithm requires prior information of impulse noise, two new target angle estimation methods for monostatic MIMO radar based on correntropy correlation matrix and nonlinear compress core function correlation matrix are proposed respectively. Simulation results demonstrate that the proposed algorithms could achieve better performance than conventional second order statistics based algorithm and fractional lower order statistics based algorithms in α-stable distribution impulsive noise.

TN911.7

国家自然科学基金资助项目; 中央高校基本科研业务费资助项目;中国科学院光谱成像重点实验室开放基金资助项目