| 模糊LMS算法主从滤波器的设计及应用 |
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| 引用本文： | 王云,李惠光,隋明森.模糊LMS算法主从滤波器的设计及应用[J].通信技术,2009,42(5):74-76. |
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| 作者姓名： | 王云 李惠光 隋明森 |
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| 作者单位： | 燕山大学,电气工程学院,河北,秦皇岛,066004 |
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| 摘 要： | 文章提出了一种基于模糊最小均方（LMS）算法的主从滤波器的设计，采用模糊推理机制，通过从滤波器输出的信噪比来调节主滤波器的步长，从而达到快速而稳定的收敛，并将其应用于噪声抵消系统中。仿真结果表明，该算法（FMS-LMS）比传统LMS算法及只有主从滤波器的算法具有更好的性能。
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| 关 键 词： | 主从滤波器 模糊推理 LMS算法 噪声对消 |
Design and Application of Principal and Subordinate Filter Based on Fuzzy LMS Algorithm |
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| WANG Yun,LI Hui-guang,SUI Ming-sen.Design and Application of Principal and Subordinate Filter Based on Fuzzy LMS Algorithm[J].Communications Technology,2009,42(5):74-76. |
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| Authors: | WANG Yun LI Hui-guang SUI Ming-sen |
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| Affiliation: | (College of Electrical Engineering, Yanshan University, Qinhuangdao Heibei 066004, China) |
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| Abstract: | A design of principal and subordinate filter based on fuzzy LMS algorithm is presented in this paper. By adopting fuzzy logic and using the Signal-to-Noise output of the subordinate filter to adjust step size of the principal filter, thus the faster and steady convergence speed is achieved. And this algorithm is successfully in the noise canceller system. Simulation results show that the FMS-LMS algorithm has better performance than conventional LMS algorithm and the algorithm only with principal and subordinate filter. |
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| Keywords: | principal and subordinate filter fuzzy logic LMS algorithm noise canceller |
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