PROJECT TITLE :

Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels

ABSTRACT:

During this study the authors propose a completely unique joint detection and phase noise estimation scheme suited to severely time-dispersive channels. The authors contemplate single-carrier modulations combined with frequency domain equalisation schemes where the wireless transmission is impaired with part noise. An iterative frequency-domain equaliser is assumed on the receiver facet and therefore the phase noise is estimated and compensated for after the equalisation step and at intervals each iteration of the equaliser. In truth, by exploiting the Gaussianity of the equaliser output the authors are in a position to track the phase noise using stochastic recursive filtering techniques. These techniques share the identical dynamic state-house (DSS) model. The observation equation corresponds to the measurement of the phase noise of a digitally-modulated signal stricken by additive white Gaussian noise, and also the dynamics equation corresponds to the Wiener-Lévy model for the section noise. Supported on this DSS model the authors aim at estimating the unknown part noise worth given all observations up to this time instant. In a very Bayesian context this represents estimating recursively in time the filtering and also the predictive distributions. From these distributions a minimum mean-squared error estimate of the phase noise is decided.