用于主动噪声控制系统的高性能算法结构

本文针对传统的自适应滤波算法降噪性能差、收敛速度慢以及应对突变能力不足等问题，提出了基于改进的方程误差算法和镜像优化算法。其中，改进的方程误差算法在FURLMS算法基础上进行离线二次路径建模，解决了降噪性能和收敛速度的问题。为了提高系统应对突变的能力，该算法在FURLMS算法基础上进行了镜像优化。结果表明，本文提出的两种算法在系统频率为250 Hz左右范围时，均方误差可稳定在-20dB，提出的改进方程误差算法和镜像修改算法分别有28dBA和30dBA的噪声衰减效果。

High performance algorithm architecture for active noise control systems

Aiming at the problems of the traditional adaptive filtering algorithm, such as poor noise reduction performance, slow convergence speed and insufficient ability to deal with mutation, this paper proposes an improved equation error algorithm and mirror image optimization algorithm. Among them, the improved equation error algorithm based on FURLMS algorithm carries out offline quadratic path modeling, which solves the problems of noise reduction performance and convergence speed. In order to improve the ability of the system to deal with mutation, the algorithm is optimized based on the FURLMS algorithm. The results show that when the system frequency is about 250 Hz, the mean square error of the proposed two algorithms can be stabilized at -20 db, and the improved equation error algorithm and the image modification algorithm have the noise attenuation effect of 28dBA and 30dBA respectively.