| URN |
etd-0917116-152128 |
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| Author |
Jhih-Yu Chung |
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| Author's Email Address |
No Public. |
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| Statistics |
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| Department |
Communications Engineering |
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| Year |
2016 |
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| Semester |
1 |
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| Degree |
Master |
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| Type of Document |
|
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| Language |
zh-TW.Big5 Chinese |
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| Title |
Study on Recursive Least-Square Channel Estimation via Basis Expansion Model in MIMO-OFDM Systems |
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| Date of Defense |
2016-10-07 |
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| Page Count |
46 |
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| Keyword |
Multiple-input multiple-output (MIMO)
orthogonal frequency division multiplexing (OFDM)
time-varying channel
basis expansion model (BEM)
recursive least-squares (RLS)
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| Abstract |
In this thesis, we study the time-varying channel estimation problem for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Resorting to complex exponential basis expansion model (CE-BEM), the time-varying channel in OFDM systems is modeled as a doubly-selective matrix which can be represented by the BEM coefficients. In high mobile environment, the BEM coefficients remain as constant in an OFDM block and are slightly changed in adjacent OFDM block. Therefore, we apply the recursive least-square (RLS) algorithm to track the BEM coefficients. Simulation results show that the proposed method outperforms the conventional RLS block-wise channel estimation, especially for larger range of Doppler spreads systems. |
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| Advisory Committee |
Tsang-Yi Wang - chair
Chao-Yuan Hsu - co-chair
Wan-Jen Huang - co-chair
Fan-Shuo Tseng - advisor
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| Files |
Indicate in-campus at 5 year and off-campus access at 5 year. |
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| Date of Submission |
2016-10-17 |
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