Direction of arrival estimation using the rotating equatorial microphone

Lawrence J, Ahrens J, Peters N (2024)


Publication Language: English

Publication Type: Journal article

Publication year: 2024

Journal

Original Authors: Jeremy Lawrence, Jens Ahrens, Nils Peters

Book Volume: 4

Article Number: 1341087

DOI: 10.3389/frsip.2024.1341087

Abstract

Introduction: Direction of arrival (DOA) estimation of sound sources is an essential task of sound field analysis which typically requires two or more microphones. In this study, we present an algorithm that allows for DOA estimation using the previously designed Rotating Equatorial Microphone prototype, which is a single microphone that moves rapidly along a circular trajectory, introducing DOA-dependent periodic distortions in the captured signal.

Methods: Our algorithm compensates for the induced spectral distortions caused by the REM’s circular motion for multiple DOA candidates. Subsequently, the best DOA candidate is identified using two distortion metrics. We verify our approach through numerical simulations and practical experiments conducted in a low-reverberant environment.

Results: The proposed approach localizes unknown single-frequency sources with a mean absolute error of 23 degrees and unknown wideband sources with a mean absolute error of 5.4 degrees in practice. Two sources are also localizable provided they are sufficiently separated in space.

Conclusion: Whilst previous work only allowed for DOA estimation of a single monochromatic sound source with a known frequency, our DOA estimation algorithm enables localization of unknown and arbitrary sources with a single moving microphone.

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How to cite

APA:

Lawrence, J., Ahrens, J., & Peters, N. (2024). Direction of arrival estimation using the rotating equatorial microphone. Frontiers in Signal Processing, 4. https://doi.org/10.3389/frsip.2024.1341087

MLA:

Lawrence, Jeremy, Jens Ahrens, and Nils Peters. "Direction of arrival estimation using the rotating equatorial microphone." Frontiers in Signal Processing 4 (2024).

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