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

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6 Author(s)
Kyu In Lee ; School of Electrical and Electronic Engineering, Chung-Ang University, Seoul, KOREA ; Kyung Soo Woo ; Jaekwon Kim ; JooHyun Yi
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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. Compared with the expectation maximization (EM) algorithm, the DEM algorithm can greatly reduce computational complexity while improving the performance of channel estimation in fast fading channels.

Published in:

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

Date of Conference:

3-7 Sept. 2007