CDMA Channel estimation with adaptive fuzzy filters

Authors:
Antti Niemi;Timo Hämäläinen;Jyrki Joutsensalo
Affiliations:
Jyväskylä Polytechnic, Jyväskylä, Finland;Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland;Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland
Venue:
AMCOS'05 Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science
Year:
2005

Citing 3
Cited 0

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Multiuser Detection

Multiuser Detection
CDMA Systems Engineering Handbook

CDMA Systems Engineering Handbook

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a hierarchical system of three adaptive fuzzy filters into the RAKE receiver to estimate the channel coefficients in a downlink multipath fading CDMA channel. The simplest filter is proved to be equivalent with the alpha tracker. In tested circumstances (Rayleigh fading with AWGN) the two simpler filters proved to be most useful. The nested nature of the filters makes it possible to construct a 'hybrid' filter according to the situation.