Bayesian blind turbo receiver for coded OFDM systems with frequency offset and frequency-selective fading

Authors:
B. Lu;Xiaodong Wang
Affiliations:
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX;-
Venue:
IEEE Journal on Selected Areas in Communications
Year:
2006

Citing 0
Cited 3

Monte Carlo Bayesian Signal Processing for Wireless Communications

Journal of VLSI Signal Processing Systems
Channel estimation technique assisted by postfixed PN sequences with zero padding for wireless OFDM communications

Proceedings of the 2006 international conference on Wireless communications and mobile computing
Performance of channel coded noncoherent systems: modulation choice, information rate, and Markov chain Monte Carlo detection

IEEE Transactions on Communications

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Abstract

The design of a blind receiver for coded orthogonal frequency-division multiplexing communication systems in the presence of frequency offset and frequency-selective fading is investigated. The proposed blind receiver iterates between a Bayesian demodulation stage and a maximum a posteriori channel decoding stage. The extrinsic a posteriori probabilities of data symbols are iteratively exchanged between these two stages to achieve successively improved performance. The Bayesian demodulator computes the a posteriori data symbol probabilities, based on the received signals (without knowing or explicitly estimating the frequency offset and the fading channel states), by using Markov chain Monte Carlo (MCMC) techniques. In particular, two MCMC methods-the Metropolis-Hastings algorithm and the Gibbs sampler-are studied for this purpose. Computer simulation results show that the proposed Bayesian blind turbo receiver can achieve good performance and is robust against modeling mismatch