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IEICE TRANSACTIONS on Communications

Improved DFT-Based Channel Estimation for TDS-OFDM Wireless Communication Systems

Jung-Shan LIN, I-Cheng LIU, Shih-Chun YANG, Jeih-weih HUNG

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Summary :

This paper proposes an improved discrete Fourier transform (DFT)-based channel estimation technique for time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) communication systems. The proposed technique, based on the concept of significant channel tap detector (SCTD) scheme, can effectively improve the system performance of TDS-OFDM systems. The correlation of two successive preambles is employed to estimate the average noise power as the threshold for obtaining the SCTD threshold estimation error and loss path information in large delay spread channel environments. The proposed estimation scheme roughly predicts the noise power in order to choose the significant channel taps to estimate the channel impulse response. Some comparative simulations are given to show that the proposed technique has the potential to achieve bit error rate performance superior to that of the conventional least squares channel estimation.

Publication
IEICE TRANSACTIONS on Communications Vol.E96-B No.12 pp.3135-3141
Publication Date
2013/12/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E96.B.3135
Type of Manuscript
PAPER
Category
Wireless Communication Technologies

Authors

Jung-Shan LIN
  National Chi Nan University
I-Cheng LIU
  National Chi Nan University
Shih-Chun YANG
  National Chi Nan University
Jeih-weih HUNG
  National Chi Nan University

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