基于改进的对比度控制-声压匹配算法的车载独立声学空间系统设计

Design of In-vehicle Personal Audio Zone System Based on Modified Acoustic Contrast Control-Pressure Matching Algorithm

基于一种改进的对比度控制-声压匹配算法(ACC-PM),设计了一款车载独立声学空间系统(PAZ),可以实现车内驾驶员座位与后排右侧座位的声音分区控制。针对传统的ACC-PM算法数值稳定性不佳的问题,使用遗传算法(GA)对传统的ACC-PM算法进行了优化改良,成功实现了声音分区控制效果与算法数值稳定性之间的动态平衡,并为后续使用更多扬声器以获得更好的声音分区控制效果奠定了理论基础。

Based on an improved acoustic contrast control-pressure matching(ACC-PM)algorithm,an in-vehicle personal audio zone(PAZ)system is designed,which can realize the sound zoning control of the driver's seat and the right seat in the rear row.Aiming at the problem of poor numerical stability of the traditional ACC-PM algorithm,the traditional ACC-PM algorithm is optimized and modified by using genetic algorithm(GA),which successfully realizes the dynamic balance between the sound zoning control effect and the numerical stability of the algorithm,and lays a theoretical foundation for the subsequent use of more speakers to obtain better sound zoning control effect.