对变步长LMS滤波算法进行研究,提出一种新的变步长LMS自适应滤波算法。该算法基于Sigmoid函数,通过引入误差因子反馈来调整函数参数,解决了类Sigmoid函数中参数设置的问题,并使算法具有较快的收敛速度和较小的稳态误差。计算机仿真表明,相对于其他变步长算法,该算法在收敛速度和稳态误差方面均表现优异,具有较好适用性。 The variable step size LMS filtering algorithm is studied, and a new variable step size LMS adaptive filtering algorithm is proposed. Based on the Sigmoid function, the algorithm adjusts the function parameters by introducing the error factor feedback, and solves the problem of parameter setting in the class Sigmoid function. The algorithm has fast convergence speed and smaller steady-state error. Computer simulation shows that compared with other variable-length algorithms, the proposed algorithm performs well in terms of convergence rate and steady-state error, and has good applicability.