Title :
A novel joint channel and multi-user interference statistics estimator for UWB-IR based on Gaussian mixture model
Author :
Cellini, Valentina ; Donà, Gabriele
Author_Institution :
Dipartimento di Ingegneria dell´´Informazione, Padova Univ., Italy
Abstract :
Ultra-wideband impulse radio communications have been growing rapidly over the last few years, as a promising technique for high bit-rate and multi-user transmissions over the 3-10 GHz unlicensed spectrum. In literature, multi-user interference is often approximated with a white Gaussian process and embodied in the overall noise term. However, it has been found that, in typical indoor environments, such approximation is inadequate. In this paper, we propose a new approach to characterize the interference, based on the Gaussian mixture model, which allows to derive a joint channel and multi-user interference statistics estimator, based on the iterative space-alternating generalized expectation maximization algorithm. The effectiveness of the proposed estimator is shown by means of numerical examples.
Keywords :
Gaussian processes; channel estimation; expectation-maximisation algorithm; radiofrequency interference; ultra wideband communication; Gaussian mixture model; UWB impulse radio; channel statistics estimator; generalized expectation maximization algorithm; iterative space-alternating algorithm; multiuser interference statistics estimator; ultra-wideband impulse radio communications; Gaussian noise; Gaussian processes; Indoor environments; Interference; Iterative algorithms; Iterative methods; Radio communication; Statistics; Ultra wideband technology; Working environment noise;
Conference_Titel :
Ultra-Wideband, 2005. ICU 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-9397-X
DOI :
10.1109/ICU.2005.1570066