Title page for etd-0719110-174552


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URN etd-0719110-174552
Author Hung-Fu Lin
Author's Email Address No Public.
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Department Communications Engineering
Year 2009
Semester 2
Degree Master
Type of Document
Language English
Title Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm
Date of Defense 2010-06-11
Page Count 36
Keyword
  • EM Algorithm
  • joint detection and estimation
  • Amplify-and-Forward
  • Abstract In this thesis, we consider the problem of distributed detection problem in cooperative communication networks when the channel state information (CSI) is unknown. The amplify-and-forward relay strategy is considered in this thesis. Since the CSI is assumed
    to be unknown to the system, the joint detection and estimation approach is considered in this work. The proposed scheme in this work differs from existing joint detection and estimation schemes in that it utilizes a distributed approach, which exploits node
    cooperation and achieves a better system performance in cooperative communication networks.
    Moreover, by contrast to the existing channel estimation and symbol detection schemes, the proposed scheme is mainly developed based on the assumption that the data communication from the source to each relay node is to undergo a correlated fading channel. We derive the joint detection and estimation rules for our problem using the expectation-maximum (EM) algorithm. Simulation results show that the proposed scheme can perform well. Moreover, the obtained results show that the proposed iteration algorithm converges very fast, which implies the proposed scheme can work well in
    real-time applications.
    Advisory Committee
  • Yu-Chao Tang - chair
  • Jwo-Yuh Wu - co-chair
  • Chih-Peng Li - co-chair
  • Chao-Kai Wen - co-chair
  • Tsang-Yi Wang - advisor
  • Files
  • etd-0719110-174552.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2010-07-19

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