| LMS和RLS自适应滤波算法对比研究 |
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| 引用本文： | 李姣军,李刚,李恒.LMS和RLS自适应滤波算法对比研究[J].重庆科技学院学报(自然科学版),2011(2):132-134,144. |
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| 作者姓名： | 李姣军 李刚 李恒 |
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| 作者单位： | 重庆理工大学; |
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| 基金项目： | 重庆市自然科学基金项目(CSTC2009BB2420); 重庆市教委科技研究项目(KJ100810) |
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| 摘 要： | 介绍了自适应滤波器的基本原理,对最小均方(LMS,Least Mean Squares)和递归最小二乘(RLS,Recursive Least Squares)自适应算法进行仿真分析及对比研究.仿真结果及实例均表明,两种算法都能有效抑制和抵消各种干扰,但相比之下,RLS算法具有更好的收敛性能及稳定性.
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| 关 键 词： | 自适应滤波 最小均方 递归最小二乘 对比研究 |
Comparative Study between LMS and RLS Adaptive Filter Algorithm |
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| LI Jiao-jun LI Gang LI Heng.Comparative Study between LMS and RLS Adaptive Filter Algorithm[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2011(2):132-134,144. |
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| Authors: | LI Jiao-jun LI Gang LI Heng |
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| Affiliation: | LI Jiao-jun LI Gang LI Heng(Chongqing University of Technology,Chongqing 400054) |
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| Abstract: | This paper introduces the basic principle of adaptive filter.The two basic LMS and RLS adaptive algorithm are simulated and their performances are compared.Simulation results and examples indicate that:both algorithms shall be restrained effectively and offset all sorts of interference,but RLS algorithm possesses better convergence and stability. |
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| Keywords: | adaptive filter least mean squares recursive least squares comparative study |
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