摘要
研究了自适应最小均方误差(least mean squares,LMS)滤波算法的步长选取问题。在详细分析现有变步长LMS算法的基础上,给出一种以双曲正切函数的改进形式为变步长的LMS算法。讨论了步长参数的选取原则及其对算法收敛性、抗干扰性和稳态误差的影响。该算法不但具有较快的收敛速度和跟踪速度,而且能获得更小的稳态失调。理论分析和仿真结果表明,该算法具有更好的稳态性能。
The problem of step size selection for adaptive least mean squares （LMS） filtering algorithm is studied. A new variable step size LMS algorithm with improved hyperbolic tangent function is presented, which is derived by the extensive review about some existing LMS algorithms. The selective rule of step size parameters is discussed, and the performance analysis such as convergence, anti-interference and the steady-state error of the algorithm are also given. The algorithm can not only obtain the good properties of the fast convergence and the tracking speed, but also achieve lower misadjustment. Theoretical analysis and simulation results show that the proposed variable step size LMS algorithm has better steady--state performance than that of the existing algorithms.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第9期2238-2241,共4页
Systems Engineering and Electronics
关键词
自适应滤波
变步长
双曲正切函数
最小均方误差算法
adaptive filtering
variable step size
hyperbolic tangent function
least mean squares algorithm
