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An Enhaced Channel Estimation Technique for MIMO OFDM Systems  

Shin Myeongcheol (Dept. of Electrical Electronic Engineering, Yonsei University)
Lee Hakju (Dept. of Electrical Electronic Engineering, Yonsei University)
Shim Seijoon (Dept. of Electrical Electronic Engineering, Yonsei University)
Lee Chungyong (Dept. of Electrical Electronic Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.41, no.6, 2004 , pp. 9-15 More about this Journal
Abstract
In MIMO-OFDM systems, conventional channel estimation techniques using comb type training symbols give relatively large mean squared errors(MSEs) at the edge subcarriers. To reduce the MSEs at these subcarriers, a cyclic comb type training structure is proposed. In the proposed cyclic training structure, all types of training symbols are transmitted cyclically at each antenna. At the receiver, the channel frequency responses that are estimated using each training symbol are averaged with weights obtained from the corresponding MSEs. Computer simulations showed that the proposed cyclic training structure gives more SNR gain than the conventional training structure.
Keywords
Channel estimation; cyclic training structure; MIMO-OFDM; training symbol;
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