The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm

  • 배상준 (인하대학교 정보통신대학원) ;
  • 장윤호 (인하대학교 정보공학과) ;
  • 남상균 ((주)아이큐브 네트워크팀) ;
  • 곽경섭 (인하대학교 초광대역 무선통신 연구센터(UWB-ITRC))
  • Published : 2009.12.31
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Abstract

In OFDM systems, mobile channel degrades the system performance seriously. Therefore, channel estimation technique is required to compensate for the degradation from the channel effects. However, conventional channel estimations in frequency domain induce ICI which is induced from Doppler frequency. In addition, a linear interpolation method causes inaccurate channel estimation. In order to minimize the effect of the interference and interpolation error, the proposed method combines LS method and Kalman filtering algorithm. Channel impulse response is adaptively tracked by Kalman filtering based on the information from LS estimator. Simulation results are presented to verify the performance of the proposed channel estimation over mobile channel environment. Simulation results show that the proposed method can effectively compensate for channel degradation.

Keywords

References

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