  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.
