箕舌线自适应滤波算法的分析与改进

On tongue-like curve adaptive filtering algorithm

针对箕舌线自适应滤波算法(LMS)抗噪声能力差,不适合在噪声环境中使用的缺点,尝试在步长更新时加入对输入信号的控制,以提高系统的抗噪声性能。仿真表明,改进后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 filtering algorithm which added input signal to the step adjusting, in order to improve the bad reject noise in Tongue-Like Curve variable step-size a- daptive filtering algorithm. The simulation results showed that the proposed algorithm had not only the virtue of rapid trace speed but also a stronger ability of reject noise.