自适应滤波LMS类算法探究

A Research of LMS Adaptive Filtering Algorithms

在传统的LMS(Least Mean Square)算法中,固定步长的选取影响收敛速度与稳态误差,而且两者不可兼得。因此,为在相应的领域内合理使用此类算法,针对这个问题在对多种自适应滤波LMS类算法进行原理分析后,得出此类算法在不同领域的特点,对今后不同人群的合理使用提供了良好条件。

The convergent speed and steady -state error are affected by the fixed step size and can not be improved simultaneously in classical LMS algorithm. Therefore, to use it correctly in relevant fields, for this contradiction, after analyzing a variety of LMS adaptive filtering algorithms on principle, the characteristic of these algorithms in different fields is presented, this also provides different people＇s correct use with a better foundation.