LMS组合算法在自适应噪声抵消系统中的应用  

Application of LMS combined algorithm in adaptive noise cancellation system

作　　者：贺德春 彭勇[1] 莫晶[1] 

机构地区：[1]河西学院物理与机电工程学院,甘肃张掖734000

出　　处：《物理实验》2015年第4期28-31,共4页Physics Experimentation

基　　金：国家自然科学基金资助(No.11464010)

摘　　要：提出将不同LMS算法组合实现自适应滤波器对噪声信号的二级滤波,并对含噪声的信号进行Matlab仿真实验.理论分析和仿真结果表明,不同LMS组合算法实现的二级滤波明显好于单个固定步长LMS算法、NLMS算法实现的一级滤波,并且二级滤波改善了快速收敛速度、跟踪速度以及稳态误差之间的性能.Different LMS combined algorithm were applied to adaptive noise cancellation system,and Matlab simulation experiments were applied on noisy signals.Theoretical analysis and simulation results showed that the LMS combined algorithm for two-level filtering was obviously better than the single fixed stepsize LMS algorithm and the NLMS algorithm.The algorithm of two-level filtering improved the performance of the filter in terms of the fast convergence speed,tracking speed and low maladjustment error.

关 键 词：自适应滤波器 二级滤波 LMS组合算法 

分 类 号：TN912.3[电子电信—通信与信息系统]