@inproceedings{079e3251eae642fd96b1e3afb864aee0,
title = "Design of Frequency-Invariant Beamformers with Sparse Concentric Circular Arrays",
abstract = "Frequency-invariant (FI) beamformers are used in audio and acoustic applications to enhance broadband signals with possibly varying angles of arrival. One of the main challenges is designing such beamformers using a small number of sensors while still performing well under adverse conditions. This paper introduces a new design approach for FI beamformers with sparse concentric circular arrays. We propose an iterative greedy design that optimizes both the number of required sensors and rings while preserving the predefined directivity pattern's properties for different frequencies and azimuthal steering directions. Experimental results demonstrate the benefits of the proposed sparse sensor design and FI beamformer in terms of array gain and rotationally invariant beampattern, under limited computational and hardware constraints.",
keywords = "Concentric circular array, frequency-invariant beamformer, rotation invariance, sparse array",
author = "Yaakov Buchris and Israel Cohen and Alon Amar",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2023 ; Conference date: 22-10-2023 Through 25-10-2023",
year = "2023",
doi = "10.1109/WASPAA58266.2023.10248163",
language = "الإنجليزيّة",
series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
booktitle = "Proceedings of the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2023",
}