Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm 


Vol. 34,  No. 12, pp. 1208-1215, Dec.  2009


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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.

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  Cite this article

[IEEE Style]

S. Bae, Y. Jang, S. Nam, K. S. Kwak, "Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1208-1215, 2009. DOI: .

[ACM Style]

Sangjun Bae, Yoonho Jang, Sangkyun Nam, and Kyung Sup Kwak. 2009. Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 34, 12, (2009), 1208-1215. DOI: .

[KICS Style]

Sangjun Bae, Yoonho Jang, Sangkyun Nam, Kyung Sup Kwak, "Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1208-1215, 12. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880