基于阵列流型盲辨识的MIMO雷达二维DOD和二维DOA联合估计

MIMO（Multiple Input Multiple Output）雷达基于分集增益理念，使其相对于相控阵雷达，在目标探测、参数测量、多目标分辨及干扰识别和抑制等方面具有明显优势.目标角度估计是雷达目标参数测量的核心内容，也是雷达对空域目标进行定位和跟踪的前提.本文基于双L型阵列，提出了一种高精度低复杂度的双基地MIMO雷达二维离开角和二维到达角联合估计的新算法.通过对匹配滤波后的阵列接收数据进行子空间分解，实现了阵列流形矩阵的盲辨识，进而获得目标二维到达角和二维离开角的闭式解.所提算法估得的收发四维角（二维离开角和二维到达角）能够自动配对，与2-D ESPRIT（Two Dimensional Estimating Signal Parameters via Rotational Invariance Techniques）算法相比，运算复杂度约是其三分之一，角估计性能相当.仿真实验证明了所提算法以较低的运算复杂度，实现了对目标收发四维角的高精度联合估计.

2-D DOD and 2-D DOA Estimation in Bistatic MIMO Radar Based on Blind Identification of Array Manifold

Based on the concept of diversity gain,MIMO (Multiple Input Multiple Output) radar has obvious advantages over phased array radar in target detection,parameter estimation,multi-target discrimination and interference identification and suppression.Angle estimation is the core of parameter estimation and also the prerequisite for radar to locate and track spatial targets.A high-resolution and low computational complexity 2-D DOD (Two Dimensional Direction-of-Departure) and 2-D DOA (Two Dimensional Direction-of-Arrival) estimation algorithm based on double L-shaped arrays for bistatic MIMO radar is presented.By performing the eigen-decomposition of the matched array data,the array manifold can be estimated.Furthermore,we can obtain the closed-form solution of the 2-D DOD and 2-D DOA.The proposed method has similar estimation performance with 2-D ESPRIT (Two Dimensional Estimating Signal Parameters via Rotational Invariance Techniques) and the computational complexity is about one third of it.The estimated 2-D DOD and 2-D DOA could be paired automatically.Numerical simulation results show that the proposed method achieves a high-precision four dimensional angle estimation with low computational complexity.