Some of the current projects in conjunction with the SPM group.
The application of Metropolis-Hastings and Gibbs Sampling algorithms to CDMA Multi-User Detection. This approach offers near-maximum likelihood detection with soft-outputs. This project investigates the computational feasibility of this approach.
Markov Chain Monte-Carlo methods are used to calculate probability density functions for parameters in dynamic systems models. By virtue of computation of the true posterior density, these methods allow accurate quantification of estimation error, even for short data lengths.
This is a hardware device designed to be used in the design and testing of wireless MIMO communications systems. It is connected to a PC via USB 2.0 or ethernet and uses an on-board FPGA to allow implementation of algorithms in logic, together with provision for multiple radio modules.
Theoretical and empirical study of various problems in system identification. Particular attention is paid to robust estimation of Multivariable and Nonlinear systems, and to error quantification.