色噪声环境下双基地MIMO雷达收发角度估计

Joint DOD and DOA estimation for bistatic MIMO radar in colored noise

针对基于二阶统计量的MIMO雷达收发角度估计方法在色噪声环境下性能严重下降的问题,提出一种基于四阶累积量的双基地MIMO雷达的收发角度联合估计算法.从累积量的基本定义出发,构造出四阶累积量矩阵,通过特征值分解有效的分离出噪声子空间,最后根据MUSIC算法的基本原理,实现了MIMO雷达收发角度的正确估计,且估计参数可以自动配对.与传统基于二阶统计量的MUSIC算法相比,所提算法能够有效抑制高斯色噪声的影响,提高目标的角度估计性能,理论分析和仿真结果验证了所提方法的有效性.

A new method based on fourth-order cumulants for joint direction of departure （DOD） and direction of arrival （DOA） estimation in bistatic multiple input multiple output （MIMO） radar was presented, which solved the problem of the performance declining based on second-order statistics in the circumstance of colored noise. The fourth-order cumulants matrix was constructed which was based on the basic definition of the cumulant. Then the noise subspace was derived effectively from eigenvalue decomposition. Finally, according to the basic principle of the MUSIC method, the results reveal that the estimations could be performed correctly and paired automatically. Compared with the traditional algorithm based on second-order statistics, the proposed method proves to be effective in prohibiting the effect of the Gaussian colored noise and the angle estimation performance is improved. The theoretic analysis and simulation results demonstrate the effectiveness of this proposed method.