Title page for etd-0801112-133340


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URN etd-0801112-133340
Author Kai-wei Yen
Author's Email Address No Public.
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Department Communications Engineering
Year 2011
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title EM-Based Joint Detection and Estimation for Two-Way Relay Network
Date of Defense 2012-07-27
Page Count 60
Keyword
  • channel estimation
  • cooperative communication network
  • expectation-maximization algorithm
  • data detection
  • two-way relay network
  • 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in practice the channel change from one data block to another, which may cause the performance degradation due to the outdated CSI.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.
    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
  • Files
  • etd-0801112-133340.pdf
  • Indicate in-campus at 0 year and off-campus access at 5 year.
    Date of Submission 2012-08-01

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