| 基于最小均方算法的自适应有限长滤波器设计仿真 |
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| 引用本文： | 张爱丽 李志勇 刘乃安. 基于最小均方算法的自适应有限长滤波器设计仿真[J]. 通讯和计算机, 2007, 4(4): 50-53 |
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| 作者姓名： | 张爱丽 李志勇 刘乃安 |
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| 作者单位： | [1]河南师范大学计算机与信息技术学院,新乡453007 [2]西安电子科技大学通信工程学院,西安710071 |
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| 基金项目： | 本文得到河南省自然科学基金项目（No.0511011500）和河南省科技攻关项目（No.0624220038）的资助. |
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| 摘 要： | 本文主要介绍最小均方算法的性能特点。基于最小均方算法的自适应滤波器电路结构简单且实时跟踪性能好。自适应滤波器的重要特性就在于它能够在未知环境申有效工作并能够跟踪输入信号的时变特性。理论分析和仿真结果表明，在低信噪比的前提下，自适应滤波器具有良好的信号处理性能，并对系统发生的突变表现出较强的鲁棒性。
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| 关 键 词： | 最小均方算法 自适应滤波器 自适应系统识别 自适应逆建模 自适应噪声抵消 |
Application simulation of the finite filter based on the least mean square |
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| ZHANG Ai-li, LI Zhi-yong, LIU Nai-an. Application simulation of the finite filter based on the least mean square[J]. Journal of Communication and Computer, 2007, 4(4): 50-53 |
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| Authors: | ZHANG Ai-li LI Zhi-yong LIU Nai-an |
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| Abstract: | This paper discusses the structure and performance of the Least Mean Square arithmetic, landscape orientation filter and the least mean square arithmetic formula which bases on the steepest decline method. The significant feature of adaptive filter lies in its effective stability that traces input signals. Theoretical analysis and simulation results show that, in the low SNR circumstance, it provides sound facility of processing data and is robust against the abrupt change of the system. |
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| Keywords: | the least mean square arithmetic adaptive filter adaptive system identification adaptive converse modeling adaptive noise cancellation |
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