色噪声环境下MIMO雷达角度估计算法

针对色噪声环境下的MIMO雷达目标角度估计问题,提出一种基于四阶累积量切片的角度估计算法。算法利用MIMO雷达的接收数据计算出四阶累积量,构造出累积量切片矩阵,通过特征分解,结合ESPRIT算法实现了雷达目标的角度估计。同时进行了低复杂度改进,去掉了冗余信息,保留了MIMO雷达阵元扩展能力和目标分辨力,具有自动抑制加性高斯噪声和任意高斯色噪声的能力。最后计算机仿真结果证实了算法的有效性和可行性。

Angle Estimation of MIMO Radar in the Presence of Colored Noise

A new algorithm based on fourth order cumulants slice is proposed for angle estimation for MIMO radar in the presence of the spatially Gaussian noise, which constructs a eumulant slice matrix using the data vectors of radar. Through the eigenvalue decomposition of the matrix, angles of MIMO radar can be estimated combined with the subspace kind algorithms such as ESPRIT. This algorithm, keeping the capacity of virtual array extending and target distinguish, removing data redundancy of cumulant matrix and reducing the complexity, restrains automatically the influence of the additive Gaussian white noise and colored noise. Simulation results verify that the proposed algorithm is effective.