本文对变步长(VSS) 自适应滤波算法进行了分析,针对输入信号高度相关时算法收敛速度下降导致性能下降

的问题,提出了一种解相关变步长归一化LMS 自适应算法,引入相关性原理,使得算法保持良好的收敛性能。计算机仿真

结果与理论分析相一致-In this paper , we discuss and analyze the variable step2size adaptive algorithm(VSSLMS) ,in which the descent

of it s convergence speed leads to the reduction of performance when input signals are heavily correlated . As a result , we

propose an uncorrelated variable step2size normalized LMS adaptive algorithm. Due to the principle of correlation ,the algo2

rithm can achieve good performance. The simulations agree to the theoretical analysis.