Journal of Northeastern University Natural Science ›› 2014, Vol. 35 ›› Issue (10): 1400-1403.DOI: 10.12068/j.issn.1005-3026.2014.10.008

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DFT Channel Estimation Based on Improved Threshold in OFDM System

JI Ce, TIAN Chuntang, WANG Lijuan   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2013-09-16 Revised:2013-09-16 Online:2014-10-15 Published:2014-05-19
  • Contact: TIAN Chuntang
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Abstract: Conventional DFTbased channel estimations algorithm cannot suppress noise inside the CP. To solve the problem, a new DFT channel estimation algorithm, which took the median of the energy of all the time domain noise samples point as threshold, was proposed by analyzing shortcomings and deficiencies of these algorithms with many different thresholds to suppress noise. Simulation results showed that the proposed algorithms could effectively solve the problem that the significant channel samples were filtered under big impulse noise. What’s more, the noise inside the CP was suppressed effectively, and the bit error rate and mean square error were further decreased, resulting in the improvement of the channel estimation accuracy.

Key words: orthogonal frequency division multiplexing, cyclic prefix, channel estimation, timedomain threshold, DFT

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