In this paper, we propose a new method to design an annihilating filter (AF) for direction-of-arrival (DOA) estimation of multiple snapshots within an uniform linear array. To evaluate the proposed method, we firstly design a DOA estimation using multiple signal classification (MUSIC) algorithm, referred to as the MUSIC baseline. We then compare the proposed method with the MUSIC baseline in two environmental noise conditions: Only white noise, or both white noise and diffusion. The experimental results highlight two main contributions; the first is to modify conventional MUSIC algorithm for adapting different noise conditions, and the second is to propose an AF-based method that shows competitive accuracy of arrival angles detected and low complexity compared with the MUSIC baseline.

翻译：在本文中,我们提出一种新的方法,用于设计一个用于指向抵达方向对统一线性阵列内多张快照进行估计的灭火过滤器(AF),为评价拟议方法,我们首先使用多信号分类(MUSIC)算法(称为MUSIC基线)设计DOA估计法,然后用两种环境噪音条件(只有白色噪音,或同时是白色噪音和传播)将拟议方法与MUSIC基准进行比较。实验结果突出了两个主要贡献;第一个是修改传统的MUSIC算法以适应不同的噪音条件,第二个是提出一个基于AF的方法,显示所检测到的抵达角度和与MUSIC基准相比的低复杂性的竞争性准确性。