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Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise

机译:互耦与彩色噪声共存的MIMO雷达稳健角估计

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摘要

This paper deals with joint estimation of direction-of-departure (DOD) and direction-of- arrival (DOA) in bistatic multiple-input multiple-output (MIMO) radar with the coexistence of unknown mutual coupling and spatial colored noise by developing a novel robust covariance tensor-based angle estimation method. In the proposed method, a third-order tensor is firstly formulated for capturing the multidimensional nature of the received data. Then taking advantage of the temporal uncorrelated characteristic of colored noise and the banded complex symmetric Toeplitz structure of the mutual coupling matrices, a novel fourth-order covariance tensor is constructed for eliminating the influence of both spatial colored noise and mutual coupling. After a robust signal subspace estimation is obtained by using the higher-order singular value decomposition (HOSVD) technique, the rotational invariance technique is applied to achieve the DODs and DOAs. Compared with the existing HOSVD-based subspace methods, the proposed method can provide superior angle estimation performance and automatically jointly perform the DODs and DOAs. Results from numerical experiments are presented to verify the effectiveness of the proposed method.
机译:本文研究了未知互耦和空间色噪声并存的双基地多输入多输出(MIMO)雷达的离场方向(DOD)和到达方向(DOA)的联合估计。基于鲁棒协方差张量的新颖角度估计方法。在提出的方法中,首先制定了一个三阶张量以捕获所接收数据的多维性质。然后利用彩色噪声的时间不相关特性和互耦合矩阵的带状复对称Toeplitz结构,构造了一种新颖的四阶协方差张量,以消除空间彩色噪声和互耦合的影响。通过使用高阶奇异值分解(HOSVD)技术获得鲁棒的信号子空间估计后,应用旋转不变技术实现DOD和DOA。与现有的基于HOSVD的子空间方法相比,该方法可提供出色的角度估计性能,并自动联合执行DOD和DOA。数值实验结果表明了该方法的有效性。

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