基于实值三线性分解的互耦条件下双基地MIMO雷达角度估计算法

研究互耦背景下双基地多输入多输出(multiple input multiple output,MIMO)雷达中联合波离角(direction-of-departure,DOD)波达角(direction-of-arrival,DOA)的估计问题。为利用阵列信号的多维结构,将匹配滤波后的雷达数据表述成一个三阶张量模型。考虑到均匀线性阵列互耦矩阵的带状Toeplitz特性,利用部分阵元方向矩阵具有共同的尺度变换特性消除互耦的影响。结合前后平滑技术和酉变换技术,构建去耦后数据的增广输出三线性模型,再将联合DOD与DOA估计与三线性模型相联系。所提算法能够获得自动配对的目标角度估计,且由于平滑技术的使用,所提算法对相干源具有一定的分辨能力。此外,由于增广三线性模型为实数,因而所提算法的计算复杂度低。最后,通过仿真实验验证了所提算法的有效性。

Real-value-based trilinear decomposition based direction estimation algorithm for bistatic MIMO radar in the presence of mutual coupling

This research addresses the problem of joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple input multiple output (MIMO) radar in the presence of mutual coupling. To exploit the multidimensional structure inherent in the array signal, the matched data are formulated as a three order tensor. Taking the banded Toeplitz structure of the mutual coupling matrix into consideration, the mutual coupling effect can be removed with the property of the same scale transform shared by the parts of the array elements. Combined with the unitary transform technique and forward backward averaging techniques, an expanded trilinear model is constructed. Besides, since the expanded trilinear model is real valued, the proposed algorithm is economic in computation. Finally, simulation examples are taken to verify the effectiveness of the proposed algorithm.