高斯白噪声下L阵二维波达方向快速估计

针对L型阵列，提出一种在高斯白噪声环境下的二维波达方向(DOA)快速估计方法。首先利用阵列结构特点构建两个互协方差矩阵，同时实现了噪声分量的有效抑制，再依据协方差矩阵的性质构造了波达方向矩阵。对该矩阵进行一次特征分解即可分别得到包含方位角和俯仰角信息的方向矢量和方向元素，实现二维DOA估计。该算法避免了传统算法的谱峰搜索或大矩阵构造及其特征分解过程，计算量小，且参数自动配对。仿真结果表明，该算法在低性噪比和少快拍下的估计精度与2D ESPRIT算法近似，但计算复杂度大幅降低，适用于实时性高的工程应用背景。

Fast estimation of two-dimensional direction-of-arrival based on L-shape array with Gaussian white noise

A fast two-dimensional(2-D) direction-of-arrival(DOA) estimation method based on L-shape array with Gaussian white noise is presented. First,according to the structure of the array,two cross-covariance matrices are constructed and the effect of noise is suppressed at the same time. Then,a DOA matrix is formed from the covariance matrices.Direction vectors and direction elements as taht of 2-D bearing angles can be obtained by performing eigen-decomposition of the DOA matrix. The proposed algorithm is more computationally efficient than conventional algorithms without searching spectral peak,and the parameters can be paired automatically. Simulation results indicate that the performance of the algorithm is nearly the same as that of 2D ESPRIT algorithm with much lower computational complexity,so it is suitable for high real-time applications.