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Localization of multiple acoustic sources using optimal spherical microphone arrays

Zhibin Lin, Qingyu Wei

Open publisher page 6 citations

Abstract

This paper is concerned with the problem of localization multiple sources in 3D space using spherical microphone arrays. In contrast to existing sound localization techniques, this method takes the physics of wave propagation into account. Then a genetic algorithm (GA) is used to optimize the spherical microphone arrays. Simulations results show that the technique has the potential to localize multiple sources.

About this research paper

What this paper is about

This paper is concerned with the problem of localization multiple sources in 3D space using spherical microphone arrays. In contrast to existing sound localization techniques, this method takes the physics of wave propagation into account. Then a genetic algorithm (GA) is used to optimize the spherical microphone arrays. Simulations results show that the technique has the potential to localize multiple sources.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

This paper is concerned with the problem of localization multiple sources in 3D space using spherical microphone arrays. In contrast to existing sound localization techniques, this method takes the physics of wave propagation into account. Then a genetic algorithm (GA) is used to optimize the spherical microphone arrays. Simulations results show that the technique has the potential to localize multiple sources.

Key concepts: Microphone, Acoustics, Computer science, Microphone array, Genetic algorithm, Acoustic source localization, Space (punctuation), Spherical wave

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