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Joint Symbol Timing and Channel Estimation in Two-Way Multiple Antenna Relay Networks

We present investigation results on joint estimation of symbol timing synchronization and channel response in two-way multiple antenna relay networks that utilize amplify-and-forward (AF) relay strategy. With practically unknown relay channel gains and timing offset, optimum maximum likelihood (ML) estimation for joint timing recovery and channel estimation can be prohibitively complex. We develop a new Bayesian based Markov chain Monte Carlo (MCMC) algorithm and generalize our previous principle to a multiple antenna relay network to accomplish joint symbol timing recovery and effective channel estimation. Simulation results are provided to demonstrate the performance of the proposed algorithm.