One of the main fields of application of personal sound zones (PSZs) is the car industry. PSZ systems are usually designed assuming that the acoustic environment is not changing. However, due to variability in the car cabin's acoustic conditions, it is necessary to design a system capable of adapting to these variations. This paper introduces the use of the filtered-x least-mean-squares algorithm to adapt a PSZ system in a car cabin when the seat positions change. The article focuses on four aspects. First, the effect of the initial coefficients is investigated to help with the convergence of the adaptive algorithm. Second, a study is made on the definition of the desired pressure and its effect on the reproduction. Third, the system's sensitivity to external noise is also evaluated. Last, the possibility to reduce the number of microphones for the adaptive system is considered. The method's performance is evaluated using a two headrest system installed in a car cabin and when moving the seats to different positions. It is shown that the system is capable of maintaining the performance in the different seat positions.

中文翻译：

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使用filtered-x 最小均方算法来调整车厢中的个人声音区域

个人声音区 (PSZ) 的主要应用领域之一是汽车行业。PSZ 系统的设计通常假设声学环境没有变化。然而，由于车厢声学条件的变化，有必要设计一个能够适应这些变化的系统。本文介绍了当座椅位置发生变化时，使用filtered-x 最小均方算法来适应车舱中的PSZ 系统。文章主要从四个方面展开。首先，研究初始系数的影响以帮助自适应算法的收敛。其次，研究了所需压力的定义及其对繁殖的影响。第三，还评估了系统对外部噪声的敏感性。最后的，考虑了减少自适应系统麦克风数量的可能性。该方法的性能是使用安装在车厢内的两个头枕系统以及在将座椅移动到不同位置时进行评估的。结果表明，该系统能够保持不同座椅位置的性能。