| URN |
etd-0801112-133340 |
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| Author |
Kai-wei Yen |
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| Author's Email Address |
No Public. |
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| Statistics |
This thesis had been viewed 5568 times. Download 215 times. |
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| Department |
Communications Engineering |
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| Year |
2011 |
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| Semester |
2 |
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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 |
EM-Based Joint Detection and Estimation for Two-Way Relay Network |
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| Date of Defense |
2012-07-27 |
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| Page Count |
60 |
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| Keyword |
channel estimation
cooperative communication network
expectation-maximization algorithm
data detection
two-way relay network
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| Abstract |
In this paper, the channel estimation problem for a two-way relay network (TWRN) based on two different wireless channel assumptions is considered. Previous works have proposed a training-based channel estimation method to obtain the channel state information (CSI). But in practice the channel change from one data block to another, which may cause the performance degradation due to the outdated CSI. To enhance the performance, the system has to insert more training signal. In order to improve the bandwidth efficiency, we propose a joint channel estimation and data detection method based on expectation-maximization (EM) algorithm. From the simulation results, the proposed method can combat the effect of fading channel and still the MSE results are very close to Cramer-Rao Lower Bound (CRLB) at the high signal-to-noise ratio (SNR) region. Additionally, as compare with the previous work, the proposed scheme also has a better detection performance for both time-varying and time-invariant channels. |
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| Advisory Committee |
Jin-Fu Chang - chair
Chin-Liang Wang - co-chair
Yu T. Su - co-chair
Szu-Lin Su - co-chair
Char-Dir Chung - co-chair
Chih-Peng Li - advisor
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| Files |
Indicate in-campus at 0 year and off-campus access at 5 year. |
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| Date of Submission |
2012-08-01 |
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