Constrained optimization of acoustic contrast for personal sound zones based on array effort control

IF 3.4 2区 物理与天体物理 Q1 ACOUSTICS
Yang Zhao , Xueliang Li , Yang Yang , Zhigang Chu
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引用次数: 0

Abstract

Personal sound zone (PSZ) systems leverage loudspeaker arrays to deliver individualized audio content to multiple listeners within a shared acoustic space. A fundamental challenge in such systems lies in simultaneously achieving high acoustic contrast between bright and dark zones while maintaining low signal distortion in the listening zone, attributable to constraints in array geometry and the inherent complexity of the sound field. To maximize the utilization of loudspeaker array capability through quantitative trade-offs between acoustic contrast and signal distortion, constrained optimization with acoustic contrast as the primary objective has been explored. However, existing approaches exhibit high sensitivity to fixed regularization parameters, often leading to issues such as acoustic contrast oversaturation or excessive loudspeaker weight amplitudes. To eliminate manual regularization parameter selection—thus improving the practicality and robustness of PSZ design, we propose a novel acoustic contrast-constrained optimization method incorporating adaptive array effort control. By dynamically adjusting regularization parameters, the method achieves a balanced trade-off between acoustic contrast control accuracy and loudspeaker weight amplitude restriction. Furthermore, compared to conventional adaptive regularization techniques based on loudspeaker weight energy constraint, our method demonstrates superior control over array energy gain, thereby preventing the excessive loudspeaker power demand for generating desired bright zone acoustic energy under high-contrast conditions. When the predefined acoustic contrast target exceeds system capability, the proposed method automatically relaxes the requirement to the maximum achievable contrast under the given array effort constraint. Finally, we investigate the effects of array effort control degree and filter length on system performance, evaluating both frequency-domain design performance and time-domain filtering behavior with comparative simulations and experiments.
基于阵力控制的个人声区声学对比约束优化
个人声音区(PSZ)系统利用扬声器阵列在共享声学空间内为多个听众提供个性化音频内容。这种系统面临的一个基本挑战是,由于阵列几何形状的限制和声场固有的复杂性,如何同时在明暗区域之间实现高声学对比度,同时在收听区域保持低信号失真。为了最大限度地利用扬声器阵列的能力,在声学对比度和信号失真之间进行定量权衡,以声学对比度为主要目标的约束优化进行了探索。然而,现有的方法对固定的正则化参数具有很高的灵敏度,经常导致诸如声学对比度过饱和或扬声器重量幅度过大等问题。为了消除手动正则化参数选择,从而提高PSZ设计的实用性和鲁棒性,我们提出了一种结合自适应阵列努力控制的声学对比度约束优化方法。该方法通过动态调整正则化参数,实现了声学对比度控制精度和扬声器权重振幅限制之间的平衡。此外,与传统的基于扬声器重量能量约束的自适应正则化技术相比,我们的方法对阵列能量增益进行了更好的控制,从而避免了在高对比度条件下产生所需亮区声能的扬声器功率需求过大。当预定义的声学对比度目标超出系统能力时,该方法自动将要求放宽为给定阵列努力约束下可实现的最大对比度。最后,我们研究了阵列努力控制程度和滤波器长度对系统性能的影响,通过对比仿真和实验评估了频域设计性能和时域滤波性能。
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来源期刊
Applied Acoustics
Applied Acoustics 物理-声学
CiteScore
7.40
自引率
11.80%
发文量
618
审稿时长
7.5 months
期刊介绍: Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.
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