Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics

碩士 === 國立交通大學 === 電信工程系 === 88 === The channel identification and equalization has a slow convergence rate when the high-order statistics methods are used. The second-order statistics methods, such as OPDA and MSPA proposed recently, however, are considered to be an attractive solution. F...

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Main Authors: Y. Chen, 陳元
Other Authors: S. F. Hiesh
Format: Others
Language:en_US
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/71470981810030945222
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spelling ndltd-TW-088NCTU04350332016-07-08T04:22:39Z http://ndltd.ncl.edu.tw/handle/71470981810030945222 Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics 利用二階統計特性作分數取樣頻道估測及等化之研究 Y. Chen 陳元 碩士 國立交通大學 電信工程系 88 The channel identification and equalization has a slow convergence rate when the high-order statistics methods are used. The second-order statistics methods, such as OPDA and MSPA proposed recently, however, are considered to be an attractive solution. From the discussion in this thesis, we can find that OPDA and MSPA are sensitive to the estimation error due to limited observed data when the subchannels have clustered zeros. We also discover that the channel identification and equalization using OPDA and MSPA may fail when the channel has clustered zeros. Then we analyze the effects of the clustered zeros and we find that the effects of the clustered zeros are dependent on their magnitudes, distances, and numbers. Thus we proposed the truncated OPDA and MSPA to solve the problems caused by the clustered zeros. We also use realistic microwave channels to compare the performance of the algorithms. From the computer simulation, we can see that the truncated OPDA has a great improvement compared to the original algorithm when the channel has clustered zeros. And it has better performance than the high-order CMA method. S. F. Hiesh 謝世福 2000 學位論文 ; thesis 71 en_US
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description 碩士 === 國立交通大學 === 電信工程系 === 88 === The channel identification and equalization has a slow convergence rate when the high-order statistics methods are used. The second-order statistics methods, such as OPDA and MSPA proposed recently, however, are considered to be an attractive solution. From the discussion in this thesis, we can find that OPDA and MSPA are sensitive to the estimation error due to limited observed data when the subchannels have clustered zeros. We also discover that the channel identification and equalization using OPDA and MSPA may fail when the channel has clustered zeros. Then we analyze the effects of the clustered zeros and we find that the effects of the clustered zeros are dependent on their magnitudes, distances, and numbers. Thus we proposed the truncated OPDA and MSPA to solve the problems caused by the clustered zeros. We also use realistic microwave channels to compare the performance of the algorithms. From the computer simulation, we can see that the truncated OPDA has a great improvement compared to the original algorithm when the channel has clustered zeros. And it has better performance than the high-order CMA method.
author2 S. F. Hiesh
author_facet S. F. Hiesh
Y. Chen
陳元
author Y. Chen
陳元
spellingShingle Y. Chen
陳元
Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
author_sort Y. Chen
title Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
title_short Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
title_full Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
title_fullStr Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
title_full_unstemmed Study on Blind Fractionally-Spaced Channel Identification and Equalization Based on Second-Order Statistics
title_sort study on blind fractionally-spaced channel identification and equalization based on second-order statistics
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/71470981810030945222
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