基于行列合成的实值二维Root-MUSIC算法

在低仰角及多径环境下,常规二维波达方向估计的高分辨方法需要特征值分解或者多维搜索,运算量巨大,文中提出了一种基于行列合成处理和实值二维Root-MUSIC测角的双迭代方法.该方法由某个初始二维角度出发,首先进行行列合成,将面阵接收的数据矩阵合成为行列矢量,然后用实值Root-MUSIC分别估计俯仰角和方位角,最后由更新的二维角度重构加权向量,对阵列数据进行行列合成并重新估计二维角度,其迭代直至得到的二维角度满足给定的精度.该方法操作简单、收敛速度快,由于引入了实值域处理,在对多径信号解相关的同时进一步降低了运算量.计算机仿真结果证实了该方法估计低仰角信号的二维波达方向的正确有效性.

Real-valued 2D Root-MUSIC Algorithm Based on Row-column Synthesizing

In low elevation region with multi-path propagation,the traditional high-resolution methods for 2D direction-of-arrival (2D DOA) estimation need eigen-decomposition or multi-dimensional spectral search,which are procedures with high computational complexity. In this paper,a dual-iteration algorithm based on row-column synthesizing and real-valued 2D Root-MUSIC is proposed to estimate the 2D DOA of target with multi-path echoes. Starting with some initial 2D angles,this method synthesizes the received data o...