FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

Author:

da Silva BrunoORCID,Braeken An,Touhafi Abdellah

Abstract

Over the past decades, many systems composed of arrays of microphones have been developed to satisfy the quality demanded by acoustic applications. Such microphone arrays are sound acquisition systems composed of multiple microphones used to sample the sound field with spatial diversity. The relatively recent adoption of Field-Programmable Gate Arrays (FPGAs) to manage the audio data samples and to perform the signal processing operations such as filtering or beamforming has lead to customizable architectures able to satisfy the most demanding computational, power or performance acoustic applications. The presented work provides an overview of the current FPGA-based architectures and how FPGAs are exploited for different acoustic applications. Current trends on the use of this technology, pending challenges and open research opportunities on the use of FPGAs for acoustic applications using microphone arrays are presented and discussed.

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Reference123 articles.

1. The huge microphone array

2. Loud: A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces;Weinstein,2004

3. MEMS microphones for wireless applications;Tiete,2017

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