In this area the most important activities concern information decoding and equalization.

Publications

Projects and collaborations

Simulation tools

Capacity and information rate analysis
	Impact of phase noise in MIMO systems
	Starting from the existing works on the computation of information rates of channels with memory, we have developed a modification of these methods that can be used for continuous-state space models. The principle used for developing this alternative method is based on the partitioning of the continuous-state space into sub-sets, each one representing a state of a trellis, and the association between the states and the probability density functions built and updated on such sub-sets. This method has been applied to the evaluation of information rates of MIMO systems in presence of Wiener phase noise. Optical channel
Maximum a posteriori probability (MAP) decoders
	High-speed architectures
	The ongoing research activity regards MAP decoders design not focused on its complexity reduction but on its maximum parallelization and high processing speed by means of the adoption of message passing techniques. In [AP11], this issue is faced through an ad-hoc non-binary implementation of the message passing algorithm applied to the channel decoding. In addition the problem of short cycles is solved as well. Beyond the implementation of an efficient and extremely fast parallel architecture for the decoder, it was also considered the update of the metrics in the presence of colored and data-dependent noise, that is a very common situation in magnetic recording systems.