RBF网络在有源降噪系统中的应用仿真

摘要

针对车辆舱室内的噪声特点,在分析噪声系统非线性特性的基础上,将高速实时信号处理器DSP应用于有源降噪系统的硬件设计中,提出一种基于变结构RBF神经网络的噪声自适应控制方案,给出滤波-x算法并进行仿真验证.同时将该滤波算法的降噪效果和基本的滤波-x算法的进行比较.结果表明,采用该控制算法取得了良好的降噪效果.%Aiming at the characteristics of noise in vehicle cabins, and analyzing nonlinear characteristics of the system, the high-speed real-time signal processor (DSP) was used in active noise control system and an adaptive noise control project based on RBF networks was proposed.An algorithm of FX-RBF was given and simulated.Its noise reduction effect was compared with that of the basic filter-X algorithm.Simulation results showed that the noise reduction effect of the FX-RBF algorithm is good.