摘要
为了提高LMS自适应算法的性能,在对一类变步长LMS算法研究的基础上,提出了步长因子与误差信号之间的一种新的非线性函数关系,进一步改善了此类算法的性能。在相同收敛速度或者相同超量均方误差的前提下,该算法具有更小的超量均方误差或者更快的收敛速度。计算机仿真结果与理论分析相一致,证实了该算法性能优于原算法。
This paper discusses about a type of algorithms of variable step-size LMS adaptive filtering and presents another new non-linear functional relationship between the step-size and the error signal, which improves the algorithm performance. On the condition of the same convergence properties or the same excess MSE, the new algorithm has less excess MSE or has better convergence properties than the former algorithms. Computer simulation results confirm the theoretical analysis and show the algorithm is superior to the former algorithms in performance.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第7期1307-1310,共4页
Systems Engineering and Electronics
