互耦条件下MIMO雷达非圆目标稳健角度估计方法

Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling

提出了一种在互耦条件下基于酉张量分解的多输入多输出(MIMO)雷达非圆目标稳健的角度估计算法。所提算法首先在张量域利用互耦系数矩阵的带状对称 Toeplitz 结构来消除未知互耦的影响,然后通过构造一个特殊的增广张量捕获非圆信号的非圆特性与其固有的多维结构特性,并利用增广张量的 centro-Hermitian 特性通过酉变换转化为实值张量,最后利用高阶奇异值分解(HOSVD)获得信号子空间,结合实值子空间技术获得目标的离开方向(DoD)和到达方向(DoA)估计。由于同时利用信号的非圆结构与多维结构特性,所提算法具有比现有的子空间算法更准确的角度估计性能,同时所提算法只需要实值运算,具有较低的运算复杂度。仿真结果表明,所提算法具有有效性与优越性。

A robust angle estimation method for noncircular targets based on unitary tensor decomposition with mutual coupling in multiple-input multiple-output (MIMO) radar was proposed. Firstly, utilizing the banded symmetric Toeplitz structure of the mutual coupling matrix to eliminate the influence of unknown mutual coupling in tensor field. Then a special augmented tensor was constructed to capture the no circularity and its inherent tensor multidimensional structure of noncircular signals. And taking advantage of the centro-Hermitian characteristic of the augmented tensor to transform the sub-tensor into real-values tensor by the unitary transformation. Finally, the signal subspace estimation based on ten- sor was obtained by taking advantage of the higher-order singular value decomposition (HOSVD) technology, and then the direction-of-departure (DoD) and direction-of-arrival (DoA) estimation was obtained by utilizing the real-values sub- space technology. Due to the consideration of both the noncircularity and multidimensional structure, the proposed algo- rithm has better recognition performance than the existing angle estimation methods. At the same time, the proposed al- gorithm only requires real-valued operations and has lower computational complexity. Simulation experiments verify the effectiveness and superiority of the proposed algorithm.