A Comparison of IR-UWB Receivers Adapted to MUI with Mixture Based Distributions

This paper describes the design of several simple IR-UWB receivers that could be used for sensor networks. The research is looking for a simple design with low complexity and good performances. To achieve this, a priori information is needed: the statistical knowledge of the Multi User Interference (MUI). In many systems the Gaussian distribution is a common presumption but due to the impulsive nature of the interference, in the Impulse Radio Ultra Wide Band (IR-UWB) systems this presumption is no longer possible to characterize MUI. We investigate here the use of mixtures of Gaussian, Laplacian, and generalized Gaussian random variables to model the MUI.