| 引用本文: | 李盈颖,万建伟,周良柱.一种改进的变步长归一化LMS算法.[J].国防科技大学学报,1999,21(1):94-96.[点击复制] |
| Li Yingying,Wan Jianwei,Zhou Liangzhu.A Refrained Variable Step-size Normazied LMS Algorithm[J].Journal of National University of Defense Technology,1999,21(1):94-96[点击复制] |
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| 一种改进的变步长归一化LMS算法 |
| 李盈颖, 万建伟, 周良柱 |
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(国防科技大学 电子技术系 湖南 长沙 410073)
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| 摘要: |
| 在以往的基于LMS算法的研究中, 归一化LMS算法(NLMS)增大了算法的动态输入范围, 但该算法对噪声很敏感。引入自相关的变步长LMS算法(VSSLMS)不仅加快了收敛速度, 可在非平稳状态下进行快速跟踪, 而且消除了独立噪声的干扰, 但它无法适应大范围的动态输入。本文综合它们的优点而得到的算法, 在低信噪比和大范围的动态输入情况下都有良好的性能。 |
| 关键词: 归一化, 变步长, 自相关, 失调量 |
| DOI： |
| 投稿日期：1998-09-02 |
| 基金项目: |
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| A Refrained Variable Step-size Normazied LMS Algorithm |
| Li Yingying, Wan Jianwei, Zhou Liangzhu |
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(Department of electric technology, NUDT, Changsha, 410073)
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| Abstract: |
| We have known from the past research based on the LMS algorithm that normazied LMS (NLMS) algorithm enlarges the dynamic range of input, but it is highly sensitive to the noise disturbance. Variable step-size LMS algorithm (VSSLMS) which uses auto-correlation of errors can provide fast convergence, eliminate the influence of independent noise, thus give good performance in non-stationary environment. But it can not perform well with input which has large dynamic range. This paper combinates their advantages, and the new algorithm can perform well both in the environment of low SNR and the environment with large dynamic range of input. |
| Keywords: NLMS, VSSLMS, auto-correlation, misadjustment |
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