| 双变因子LMS自适应滤波算法 |
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| 引用本文： | 李晓波,樊养余,白勃,彭轲.双变因子LMS自适应滤波算法[J].火力与指挥控制,2011,36(9). |
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| 作者姓名： | 李晓波 樊养余 白勃 彭轲 |
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| 作者单位： | 1. 西北工业大学电子信息学院,西安710129;驻沈阳飞机工业(集团)有限公司军事代表室,沈阳110850
2. 西北工业大学电子信息学院,西安,710129 |
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| 基金项目： | 国家自然科学基金资助项目(60872159) |
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| 摘 要： | 为提高最小均方(LMS)自适应滤波算法的性能,在步长因子与误差信号满足一种改进的Sigmoid函数关系式的基础上,提出了一种双变因子控制下的变步长LMS自适应滤波算法。该算法具有初始状态收敛速度快、稳定状态均方误差小、抗噪声性能好、适应系统跃变能力强的优点。计算机仿真结果验证了该算法的优越性。
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| 关 键 词： | 自适应滤波 最小均方 变步长 双变因子 |
LMS Adaptive Filtering Algorithm Based on Double Variable Factors |
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| LI Xiao-bo,FAN Yang-yu,BAI Bo,PENG Ke.LMS Adaptive Filtering Algorithm Based on Double Variable Factors[J].Fire Control & Command Control,2011,36(9). |
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| Authors: | LI Xiao-bo FAN Yang-yu BAI Bo PENG Ke |
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| Institution: | LI Xiao-bo1,2,FAN Yang-yu1,BAI Bo1,PENG Ke1(1.College of Electron & Information,North Western Polytechnical University,Xi'an 710129,China,2.PLA Military Representative Office in Shenyang Aircraft Corporation,Shenyang 110850,China) |
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| Abstract: | A varariable setp-size LMS algorithm based on double variable factors is presented to improve the LMS(Least Mean Square) adaptive filtering algorithm performance.The improved Sigmoid functional relationship between the step-size and the error signal is established.The proposed algorithm has more faster convergence rate at the beginning and less steady-state MSE than the former algorithms.The adaptability of tracking system and deducing the effects of the irrelevant noise is another advantage of the improved... |
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| Keywords: | adaptive filtering least mean square variable step-size double variable factors |
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