摘要
详细论述了对常规LMS Newton算法的改进算法,通过建立步长因子μ与误差信号e(n)之间的非线性函数关系,提出经过修正的新的变步长自适应滤波算法;详细分析了修正算法中的若干因子对算法的影响及在不同IP环境下的表现,表明该算法具有传统固定步长LMS算法计算量小、稳定性好、简单、易于实时处理等优点;理论分析及计算机仿真结果表明,其收敛速度及稳定性优于修正SVSLMS算法。
An amended LMS Newton algorithm is proposed which create the nonlinear functional relation of the step factor μ and the error signal e（n）.And the next we discuss the factors in the amended algorithm and the performance in the different IP environment.The algorithm is simple and easy to be implemented,theoretical analysis and computer simulation show that the properties of the algorithm such as convergence speed,and steady state error ate better than those of SVSLMS algorithm.
出处
《潍坊学院学报》
2010年第4期37-41,共5页
Journal of Weifang University
关键词
自适应滤波
LMS
Newton算法
变步长
稳定性
收敛速度
adaptive filtering algorithm
LMS Newton algorithm
variable step size
stability
convergence speed
