| 加窗LMS－ML自适应时间延迟估计 |
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| 引用本文： | 邱天爽,王宏禹.加窗LMS－ML自适应时间延迟估计[J].大连理工大学学报,1994(4). |
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| 作者姓名： | 邱天爽 王宏禹 |
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| 作者单位： | 信息技术研究所 |
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| 摘 要： | 简述了最大似然时延估计的基本原理，从Ｒｏｔｈ处理器的自适应实现出发，发展了一种加窗ＬＭＳ－ＭＬ自适应时间延迟估计方法。这种方法以ＬＭＳ自适应信号处理技术为基础，利用自适应估计Ｒｏｔｈ处理器来得到幅度平方相干函数，进而实现最大似然时延估计，在自适应迭代过程中，对自适应滤波器的权矢量进行了加窗处理。理论分析和计算机仿真表明：这种方法在估计精度、收敛速度和计算复杂度诸方面均优于基本ＬＭＳ自适应时间延迟估计。
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| 关 键 词： | 自适应滤波器 延时／加窗 最小均方－最大似然估计 |
Estimation of windowed LMSD-ML adaptive time delay |
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| iu Tianshuang,Wang Hongyu.Estimation of windowed LMSD-ML adaptive time delay[J].Journal of Dalian University of Technology,1994(4). |
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| Authors: | iu Tianshuang Wang Hongyu |
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| Institution: | 0iu Tianshuang,Wang Hongyu |
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| Abstract: | The principles and performances of the Maximum Likelihood(ML)estimation of time delayare briefly reviewed.A windowed LMS-ML adaptive time delay estimation is developed.Thisnew method is based on the technology of LMS adaptive signal processing and uses the adaptiveapproach of Roth processor to realize the magnitude-squared coherence function,and then getsthe ML estimation of time delay.During adaptive iteration,a rectangular window is applied tothe weight Vectors of adaptive filters. The theoretical analysis and computer simulation show thatthe estimating accuracy,the converting speed and the calculating complexity of this method areall superior to those of LMS adaptive time delay estimation. |
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| Keywords: | adaptive filters time delay/windows LMS-ML estimation |
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