| Sign-LMS盲最大似然估计算法的研究 |
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| 引用本文： | 陈星,张立毅.Sign-LMS盲最大似然估计算法的研究[J].太原理工大学学报,2006,37(1):94-96. |
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| 作者姓名： | 陈星 张立毅 |
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| 作者单位： | 太原理工大学,信息与通信工程系,山西太原,030024 |
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| 摘 要： | 简要阐述了Sign-LMS盲最大似然估计算法的基本原理。通过计算机仿真试验,在典型电话信道,对称信道以及普通信道中,对该算法与传统的LMS盲最大似然估计算法性能作了比较,并证明了该算法在收敛速度、均方误差等方面均优于传统算法。从理论上证明了该算法的复杂度,但是该算法的简单是以牺牲稳态性能为代价的,并提出了今后Sign-LMS盲最大似然估计算法的研究方向———如何减少稳态剩余误差。
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| 关 键 词： | 盲均衡 Sign-LMS盲最大似然估计 |
| 文章编号： | 1007-9432（2006）01-0094-03 |
| 收稿时间： | 2005-08-08 |
| 修稿时间： | 2005年8月8日 |
The Study on Blind Sign-LMS MLSE Algorithm |
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| CHEN Xing,ZHANG Li-yi.The Study on Blind Sign-LMS MLSE Algorithm[J].Journal of Taiyuan University of Technology,2006,37(1):94-96. |
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| Authors: | CHEN Xing ZHANG Li-yi |
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| Institution: | Department of Information and Communication Engineering of TUT , Tai yuan 030024,China |
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| Abstract: | The principle of blind Sign-LMS MLSE algorithm is analyzed in the paper.The computer simulation showed the blind Sign-LMS MLSE algorithm is superior to conditional blind LMS MLSE algorithm in convergence speed and mean square error in typical telephone channel,symmetric channel and common channel.Theoretically the complexity of the algorithm has been proved,but the algorithm is simple at the cost of stable mean square error.How to reduce stable mean square error is the research direction of blind Sign-LMS MLSE algorithm. |
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| Keywords: | Viterbi |
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