Channel Estimation for OFDM-based Cellular Systems Using a DEM Algorithm 


Vol. 32,  No. 7, pp. 635-643, Jul.  2007


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  Abstract

In this paper, a decision-directed expectation maximization (DEM) algorithm is proposed to improve the performance of channel estimation in OFDM-based cellular systems. The DEM algorithm enables a mobile station (MS) with multiple antennas, located at the cell boundary, to increase the performance of channel estimation using transmit data, without decreasing spectral efficiency. Also, DEM algorithm can apply fast fading without loss of channel estimation performance because that includes channel variation factor in a group. It is verified by computer simulation that the DEM algorithm can reduce computational complexity significantly while improving the performance of channel estimation in fast fading channels, compared with the expectation maximization (EM) algorithm.

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  Cite this article

[IEEE Style]

K. I. Lee, K. S. Woo, J. Yi, S. Yun, Y. S. Cho, "Channel Estimation for OFDM-based Cellular Systems Using a DEM Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 7, pp. 635-643, 2007. DOI: .

[ACM Style]

Kyu In Lee, Kyung Soo Woo, JooHyun Yi, Sangboh Yun, and Yong Soo Cho. 2007. Channel Estimation for OFDM-based Cellular Systems Using a DEM Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 32, 7, (2007), 635-643. DOI: .

[KICS Style]

Kyu In Lee, Kyung Soo Woo, JooHyun Yi, Sangboh Yun, Yong Soo Cho, "Channel Estimation for OFDM-based Cellular Systems Using a DEM Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 7, pp. 635-643, 7. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880