| Application of Fast and Robust Equalization in Communication Technology |
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| 作者姓名： | 叶桦 Zhou Wanlei Ye Lin Lanham Elicia Raitman Ruth |
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| 作者单位： | [1]SchoolofInformationTechnology,DeakinUniversity,221BurwoodHWY,Burwood,Australia [2]SchoolofAdultsEducation,HarbinInstituteofTechnokgy,Harbin150001,P.R.China |
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| 摘 要： | In this paper, the authors explore the potential of several popular equalization techniques while overcoming their disadvantages. First, extensive literature survey on equalization is conducted. The focus is on popular linear equalization algorithms such as the conventional least-meansquare (LMS) algorithm, the recursive least-squares ( RLS ) algorithm, the filtered-X LMS algorithm and their development. To overcome the slow convergence problem while keeping the simplicity of the LMS based algorithms, an H2 optimal initialization is proposed.
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| 关 键 词： | 通讯技术 常规最小均方算法 LMS 回归最小均方算法 RLS |
Application of Fast and Robust Equalization in Communication Technology |
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| Zhou Wanlei,Ye Lin,Lanham Elicia,Raitman Ruth.Application of Fast and Robust Equalization in Communication Technology[J].High Technology Letters,2003,9(4):74-77. |
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| Authors: | Zhou Wanlei Ye Lin Lanham Elicia Raitman Ruth |
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| Abstract: | In this paper, the authors explore the potential of several popular equalization techniques while overcoming their disadvantages. First, extensive literature survey on equalization is conducted. The focus is on popular linear equalization algorithms such as the conventional least mean square (LMS ) algorithm, the recursive least squares ( RLS ) algorithm, the filtered X LMS algorithm and their development. To overcome the slow convergence problem while keeping the simplicity of the LMS based algorithms, an H 2 optimal initialization is proposed. |
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| Keywords: | least mean square discrete cosine transform recursive least squares filtered X LMS H 2 |
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