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arXiv · 2311.07729

Distributed pressure matching strategy using diffusion adaptation

Mengfei Zhang·Junqing Zhang·Jie Chen·Cédric Richard
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Abstract

Personal sound zone (PSZ) systems, which aim to create listening (bright) and silent (dark) zones in neighboring regions of space, are often based on time-varying acoustics. Conventional adaptive-based methods for handling PSZ tasks suffer from the collection and processing of acoustic transfer functions~(ATFs) between all the matching microphones and all the loudspeakers in a centralized manner, resulting in high calculation complexity and costly accuracy requirements. This paper presents a distributed pressure-matching (PM) method relying on diffusion adaptation (DPM-D) to spread the computational load amongst nodes in order to overcome these issues. The global PM problem is defined as a sum of local costs, and the diffusion adaption approach is then used to create a distributed solution that just needs local information exchanges. Simulations over multi-frequency bins and a computational complexity analysis are conducted to evaluate the properties of the algorithm and to compare it with centralized counterparts.

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Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard. 2023-11-13. Distributed pressure matching strategy using diffusion adaptation. https://arxiv.org/abs/2311.07729

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