基于相关箕舌线的变步长自适应滤波算法

Variable Step Adaptive Filtering LMS Algorithm Based on Correlation Tongue-like Curve

针对箕舌线变步长自适应滤波算法(LMS)抗噪声能力差,不适合在噪声环境中使用的缺点,提出在步长更新时加入输入信号的控制,提高了系统的抗噪声性能。仿真表明,改进的算法比原算法具有更快的收敛速度和更强的抗噪声性能。

This paper discussed an adaptive filter algorithm which added input signal to the step adjusting, due to bad reject noise in Tongue-like Curve variable step-size adaptive filtering algorithm. The simulation shows that the proposed algorithm not only has the virtue of rapid trace speed, but also has stronger ability of reject noise.