自适应有源噪声控制算法的研究与实现

Study and Implementation of the Algorithm for Adaptive Active Noise Control

FL MS(滤波 - XL MS)算法是广泛应用于自适应有源噪声控制技术中的算法 ,针对该算法收敛速度较慢的缺点 ,提出一种改进的 FL MS算法—— FTL MS算法来提高降噪系统的收敛速度 .着重讨论了 FTL MS算法的原理、实现方法和程序设计 .理论分析表明 ,FTL MS算法具有运算量小 ,收敛速度快和适应于各种噪声环境的优点 .实验结果表明 FTL MS算法优于 FL MS算法 。

The FLMS algorithm is widely used in adaptive active noise control (AANC). Considering its low convergence speed, an improved FLMS algorithm with faster convergence speed--FTLMS algorithm is presented. Theoretical analysis shows that the FTLMS algorithm has less amount of calculations and fast convergence and can adapt to different kinds of noise environments. Results of experiments verify that the FTLMS algorithm is superior to the FLMS algorithm, while the AL (attenuation level) of the AANC system is increased.