Phase noise is one of the major impairments affecting the performance of digital receivers. Recently, evaluating the information rate transferred through the AWGN channel in the presence of phase noise has become a hot topic, both for conventional SISO systems and for advanced MIMO systems.
The evaluation of the information rate is based on Bayesian methods that allow for the tracking of the phase noise affecting the carrier.
These methods include the Wiener and the Kalman filter, trellis-based methods, and advanced nonparametric methods based on particle filtering. The evaluation of the information rate is a theorethical activity, whose practical counterpart is carrier recovery, a basic function of real-world digital receivers.
The aim of the project is to apply Bayesian tracking methods to carrier recovery in MIMO systems, optimizing the tradeoff between performance and complexity.