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用于多区域声场再现的进化阵列优化

Evolutionary array optimization for multizone sound field reproduction.

作者信息

Zhao Sipei, Burnett Ian S

机构信息

Centre for Audio, Acoustics and Vibration, Faculty of Engineering and IT, University of Technology Sydney, Sydney, New South Wales, Australia.

出版信息

J Acoust Soc Am. 2022 Apr;151(4):2791. doi: 10.1121/10.0010309.

Abstract

Multizone sound field reproduction aims to generate personal sound zones in a shared space with multiple loudspeakers. Traditional multizone sound field reproduction methods have focused on optimizing the source strengths given a preset array configuration. Recently, however, various methods have explored optimization of the loudspeaker locations. These can be categorized into sparse regularization and iterative methods with existing studies based on numerical simulations and mostly aiming at single-zone sound field reproduction. In this paper, unique experiments compare the state-of-the-art loudspeaker placement optimization methods by selecting a smaller number of loudspeakers from the candidates uniformly placed along a circle. An evolutionary array optimization scheme is proposed and shown to outperform the best existing methods in terms of mean square error in the bright zone and acoustic contrast between the bright and dark zones at frequencies below 1 kHz. The proposed evolutionary optimization scheme is simple, flexible, and can be extended to broadband optimization and other cost functions.

摘要

多区域声场再现旨在通过多个扬声器在共享空间中生成个人声区。传统的多区域声场再现方法一直专注于在给定预设阵列配置的情况下优化声源强度。然而,最近各种方法开始探索扬声器位置的优化。这些方法可分为稀疏正则化方法和迭代方法,现有研究基于数值模拟,主要针对单区域声场再现。在本文中,通过从沿圆周均匀放置的候选扬声器中选择较少数量的扬声器,进行了独特的实验来比较最先进的扬声器布局优化方法。提出了一种进化阵列优化方案,结果表明,在1kHz以下频率的明亮区域,该方案在均方误差以及明亮区域和黑暗区域之间的声学对比度方面优于现有的最佳方法。所提出的进化优化方案简单、灵活,并且可以扩展到宽带优化和其他成本函数。

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