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波达方向(DOA)估计的基本问题就是确定同时处在空间某一区域内多个感兴趣的信号的空间位置(即各个信号到达阵列参考阵元的方位角,简称波达方向)。提取波达方向信息是智能天线技术中的关键任务之一。文中主要研究波达方向估计算法中的延迟-相加法、Capon最小方差法、常规MUSIC算法和改进型MUSIC算法。通过仿真,比较了不同波达方向估计算法的性能。
The basic problem in DOA estimation is to determine the spatial position of multiple signals of interest (ie, the azimuth of each signal arriving at an array reference element) in a certain region of space simultaneously. Extracting direction of arrival information is one of the key tasks in smart antenna technology. This paper mainly studies the delay-sum method, the Capon minimum variance method, the conventional MUSIC algorithm and the improved MUSIC algorithm in the DOA estimation algorithm. Through simulation, the performance of different DOA estimation algorithms is compared.