2021/10/12 by Son Phan, Phan, Son, Lam Pham +1
Computer Science · Engineering · #Algorithm #Antenna (radio) #Artificial intelligence #Audio and Speech Processing (eess.AS) #Baseline (sea) #Computer science #Direction of arrival #Direction-of-Arrival Estimation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Multiple signal classification #Noise (video) #SIGNAL (programming language) #Sound (cs.SD) #Speech and Audio Processing #Speech recognition #Structural Health Monitoring Techniques #Telecommunications #White noise #cs.SD #eess.AS #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2110.06323
published in arXiv (Cornell University) (Cornell University)
arxiv created 2021/10/12 · openalex publication_date 2021/10/12 · arxiv updated 2021/10/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.