An Efficient Channel Tracking Method in MIMO-OFDM Systems 


Vol. 33,  No. 3, pp. 256-268, Mar.  2008


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  Abstract

This paper proposes an efficient scheme to track the time variant channel induced by multi-path Rayleigh fading in mobile wireless Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems with null sub-carriers. In the proposed method, a blind channel response predictor is designed to cope with the time variant channel. The proposed channel tracking scheme consists of a frequency domain estimation approach that is coupled with a Minimum Mean Square Error (MMSE) time domain estimation method, and does not require any matrix inverse calculation during each OFDM symbol. The main attributes of the proposed scheme are its reduced computational complexity and good tracking performance of channel variations. The simulation results show that the proposed method exhibits superior performance than the conventional channel tracking method [4] in time varying channel environments. At a Doppler frequency of 100㎐ and bit error rates (BER) of 10-4, signal-to-noise power ratio (Eb/N0) gains of about 2.5㏈ are achieved relative to the conventional channel tracking method [4]. At a Doppler frequency of 200㎐, the performance difference between the proposed method and conventional one becomes much larger.

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  Cite this article

[IEEE Style]

H. Jeon, K. Kim, J. Ahn, E. Serpedin, "An Efficient Channel Tracking Method in MIMO-OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 3, pp. 256-268, 2008. DOI: .

[ACM Style]

Hyoung-Goo Jeon, KyoungSoo Kim, JiWhan Ahn, and Erchin Serpedin. 2008. An Efficient Channel Tracking Method in MIMO-OFDM Systems. The Journal of Korean Institute of Communications and Information Sciences, 33, 3, (2008), 256-268. DOI: .

[KICS Style]

Hyoung-Goo Jeon, KyoungSoo Kim, JiWhan Ahn, Erchin Serpedin, "An Efficient Channel Tracking Method in MIMO-OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 3, pp. 256-268, 3. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880