摘要
LMS(Least Mean Square)算法因其结构简单、稳定性好等优点,得到了广泛的应用,但在收敛速度和稳态失调之间存在着固有矛盾,通过对步长因子的调整可以克服这一矛盾。分析研究了已有的变步长LMS算法,在此基础上提出了一种改进的变步长LMS算法。理论分析和计算机仿真表明该算法不但具有较快的收敛速率,并且具有更小的稳态误差。
LMS（Least Mean Square） algorithm is widely used due to its simple and stable performance.But there is an inherent conflict between the convergence rate and steady-state misadjustment,which can be overcome through the adjustment of size factor.A new improved LMS algorithm is presented according to the analysis of some variable step size algorithms.The computer simulation results are consistent with the theoretic analysis,which show that the algorithm not only has a faster convergence rate,but also has a smaller steady-state error
出处
《计算机工程与应用》
CSCD
北大核心
2011年第13期134-135,共2页
Computer Engineering and Applications
关键词
变步长
最小均方误差(LMS)算法
收敛速率
稳态误差
variable step-size
Least Mean Square （LMS） algorithm
convergence rate
steady-state error
