Bayesian parameter estimation for time and frequency synchronization

Bayesian estimation techniques are applied to the problem of time and frequency offset estimation for modern communications systems. The estimation technique employs Markov chain Monte Carlo (MCMC) to estimate unknown system parameters for a receiver with multiple antennae. A global parameter search is used to initialize time and frequency offsets. Tracking is achieved using a Metropolis-Hastings proposal distribution. The technique enables the design of a high performance receiver capable of synchronizing and tracking in the presence of cochannel interference and multipath.