Title page for etd-0917116-152128


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URN etd-0917116-152128
Author Jhih-Yu Chung
Author's Email Address No Public.
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Department Communications Engineering
Year 2016
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Study on Recursive Least-Square Channel Estimation via Basis Expansion Model in MIMO-OFDM Systems
Date of Defense 2016-10-07
Page Count 46
Keyword
  • Multiple-input multiple-output (MIMO)
  • orthogonal frequency division multiplexing (OFDM)
  • time-varying channel
  • basis expansion model (BEM)
  • recursive least-squares (RLS)
  • 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.
    Advisory Committee
  • Tsang-Yi Wang - chair
  • Chao-Yuan Hsu - co-chair
  • Wan-Jen Huang - co-chair
  • Fan-Shuo Tseng - advisor
  • Files
  • etd-0917116-152128.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2016-10-17

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