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

• Published in: IEEE transactions on wireless communications Vol. 3; no. 3; pp. 855 - 864
• Main Authors: Tran, T.A., Sesay, A.B.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.05.2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Applied sciences; Block codes; Channels; Coding, codes; Decoders; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Fading; Information, signal and communications theory; Interference; Maximum likelihood decoding; Optimization; Probability; Signal and communications theory; Signal to noise ratio; Signal, noise; Space time codes; Statistics; Symbols; Telecommunications and information theory; Wireless communication; Fading channels; Performance evaluation; Block code; Simulation; Bit error rate; Wireless telecommunication; Space time; Signal detection; Maximum likelihood decoding
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2004.826326

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.