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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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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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.
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S. F. Hiesh |
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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 |
work_keys_str_mv |
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