| 二阶伏特拉滤波器RLS算法改进 |
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| 引用本文： | 陈凯亚,王敏锡.二阶伏特拉滤波器RLS算法改进[J].电子科技大学学报(社会科学版),2005(4). |
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| 作者姓名： | 陈凯亚 王敏锡 |
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| 作者单位： | 西南交通大学电磁场与微波技术研究所 成都610031
(陈凯亚)，西南交通大学电磁场与微波技术研究所 成都610031(王敏锡) |
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| 基金项目： | 国家自然科学基金资助项目(60272003) |
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| 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。
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| 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 |
A Modified RLS Algorithm for Second-Order Volterra Filter |
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| CHEN Kai-ya,WANG Min-xi.A Modified RLS Algorithm for Second-Order Volterra Filter[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2005(4). |
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| Authors: | CHEN Kai-ya WANG Min-xi |
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| Abstract: | 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 constructed in this paper. The rules 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. |
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| Keywords: | recursive least squares algorithm adaptive filtering algorithm second-order Volterra filter forgetting-factor least squares criterion |
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