| 一种改进的快速自适应滤波算法 |
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| 引用本文： | 张薇薇.一种改进的快速自适应滤波算法[J].西安邮电学院学报,2011,16(3):6-8. |
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| 作者姓名： | 张薇薇 |
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| 作者单位： | 西安邮电学院电子工程学院,陕西西安,710121 |
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| 基金项目： | 陕西省教育厅科研基金资助项目，西安邮电学院中青年科研基金资助项目 |
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| 摘 要： | 为了解决传统自适应滤波最小均方(Least Mean Square,LMS)算法中收敛速度与稳态误差之间的矛盾,提出了一种改进算法。该算法在已有变步长LMS算法基础上,引入遗忘因子来影响步长的更新。仿真表明,改进后的算法比原算法不但具有更快的收敛速度,而且具有更小且稳定的稳态误差。
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| 关 键 词： | LMS滤波算法 收敛速度 稳态误差 遗忘因子 |
An improved fast adaptive filtering algorithm |
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| ZHANG Wei-wei.An improved fast adaptive filtering algorithm[J].Journal of Xi'an Institute of Posts and Telecommunications,2011,16(3):6-8. |
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| Authors: | ZHANG Wei-wei |
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| Affiliation: | ZHANG Wei-wei(School of Electronic Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China) |
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| Abstract: | In order to settle the conflict between convergence speed and steady-state mean-error of traditional LMS(Least Mean Square) equalization filtering algorithm,an improvement to the existing variable step LMS algorithm is proposed by introducing the forgetting factor,with which the update of step length can be controlled.Simulation results show that the improved algorithm is faster convergence and smaller mean-error compared with the original one. |
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| Keywords: | LMS filtering algorithm convergence speed steady-state mean-error forgetting factor |
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