正比例扩展相关LMS算法

Proportionate Extended Correlation LMS Algorithm

传统的回声消除系统无法在嘈杂的双工环境下工作。由于双工信号的干扰,误差信号不能正确地指导滤波器系数的更新。本文中提出了一种基于相关函数的自适应滤波算法,扩展型相关函数LMS(ECLMS)算法。计算机仿真结果显示E-CLMS算法的表现要优于传统LMS算法。然而,ECLMS的收敛速度仍然不能令人满意。为了提高ECLMS算法的收敛速度,本文推出了一种新的正比例步长调整算法,针对自适应滤波器系数的每一个抽头,提供一个合理的步长调整参数。计算机仿真结果证实了正比例扩展相关LMS算法理论的正确性。

The conventional algorithms in the echo canceling system have drawback when they are faced with double-talk condition in noisy environment. Since the double-talk and noise signal are exist, then the error signal is contaminated to estimate the gradient correctly, In this paper, a new class of adaptive algorithm based on the correlation function processing is presented, which is called Extended Correlation LMS （ECLMS） algorithm. The computer simulation results show that the ECLMS algorithm has better perfor- mance than conventional LMS algorithm, However the convergence speed is not sufficient. In order to improve the convergence Speed, we proposed a new proportionate step-size adjustment algorithm. The computer simulation results support the theoretical findings.