一种改进的变步长LMS自适应滤波算法

An Improved Variable Step Size LMS Adaptive Filtering Algorithm

在分析传统LMS(Least Mean Square)算法及其改进算法的基础上,提出了一种新的改进的变步长LMS算法。新算法利用误差信号以及误差信号相关值共同调整步长,克服了一般变步长LMS算法低信噪比环境下抗噪较差以及高信噪比环境下收敛较慢的缺点。计算机仿真结果表明,与传统LMS算法和VSSLMS算法相比,该算法收敛速度更快,均方误差更小,同时也具有良好的抗噪性能。

An new improved variable step size LMS algorithm based on analyzing the traditional LMs algorithm and its improved algorithm are presented. The error signal and the error signal correlation value are used to adjust step, in order to overcome the general variable step size LMS algorithm＇ s shortcomings of poor anti-noise performance under low SNR and slow convergence speed under high SNR. The computer simulation results show that, as compared with traditional LMS algorithm and VSSLMS algorithm, this algorithm converges faster, with smaller mean square error and good anti-noise performance.