DocumentCode :
3782926
Title :
Fading channel estimation by mutual information minimization for Gaussian stochastic processes
Author :
R. Cristescu;J. Joutsensalo;T. Ristaniemi
Author_Institution :
Neural Networks Res. Centre, Helsinki Univ. of Technol., Espoo, Finland
Volume :
1
fYear :
2000
Firstpage :
56
Abstract :
In this paper, we propose a method for estimating the fading channel coefficients of the desired user in a code-division multiple access (CDMA) system. The essential assumption made is that the transmission channel is Gaussian. An independent component analysis approach based on complexity minimization is used for separating the signal of interest. Both the time structure of the fading channel and the independence of different transmission paths are taken into account. Simulations with downlink data, propagated through a Rayleigh fading channel, shows noticeable performance gains compared to blind MMSE channel estimation.
Keywords :
"Fading","Mutual information","Stochastic processes","Entropy","Independent component analysis","Costs","Equations","Random variables","Statistical distributions","Gaussian distribution"
Publisher :
ieee
Conference_Titel :
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Print_ISBN :
0-7803-6283-7
Type :
conf
DOI :
10.1109/ICC.2000.853063
Filename :
853063
Link To Document :
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