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A generalized linear quasi-ML decoder of OSTBCs for wireless communications over time-selective fading channels

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2 Author(s)
T. A. Tran ; Dept. of Electr. & Comput. Eng., Univ. of Calgary, Alta., Canada ; A. B. Sesay

We propose a novel generalized linear quasi-maximum-likelihood (quasi-ML) decoder for orthogonal space-time block codes (OSTBCs) for wireless communications over time-selective fading channels. The proposed decoder computes the decision statistics based on the channel-state information and completely removes the intertransmit-antenna interference to provide excellent diversity advantage when the channel varies from symbol to symbol. It is shown that when the channel is quasi-static, the proposed decoder is the optimum ML decoder for OSTBCs. The theoretical bit-error probabilities of the proposed decoder are given and it is shown that the proposed decoder does not exhibit error floors at high signal-to-noise ratios like the decoder proposed in and . Simulation results for various channel-fading rates are presented to verify the theoretical analysis.

Published in:

IEEE Transactions on Wireless Communications  (Volume:3 ,  Issue: 3 )