摘要
分析了二阶伏特拉滤波器的一种快速RLS算法,针对其存在的收敛速度与收敛精度之间的矛盾,构造了遗忘因子函数并取代该算法中的固定遗忘因子,得到改进的RLS算法。提出了遗忘因子函数的构造原则并分析了相关参数的选取方法。算例表明:改进的RLS算法能解决收敛速度与收敛精度之间的矛盾,有效地加快了收敛速度。
A fast RLS algorithm for second-order Volterra filter is analyzed. And the contradiction between speed and accuracy of convergence is revealed. The modified RLS algorithm is presented by substituting constant forgetting-factor with function of forgetting-factor const ructed in this paper. Therules for constructing forgetting-factor function and the method for selecting parameters is discussed. Finally, a numerical example shows that the modified RLS algorithm result in faster convergence speed by solving the contradiction between speed and accuracy.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2005年第4期467-469,473,共4页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金资助项目(60272003)
关键词
RLS算法
自适应滤波算法
二阶伏特拉滤波器
遗忘因子
最小二乘准则
recursive least squares algorithm
adaptive filtering algorithm
second-orderVolterra filter
forgetting-factor
least squares criterion
