Paper Info
Title
Differential fuzzy filtering for adaptive line enhancement in spread spectrum communications
Abstract
This paper presents an estimator/subtractor narrow band interference (NBI) canceller based on fuzzy logic and applied to DS-CDMA systems. The designed fuzzy canceller introduces the slow varying nature of the NBI in its rule base. In this way, we obtain an interference suppressor with the following features: (i) fusion of different NBI models in its rule base; (ii) fast adaptation capability; (iii) low computational burden, and parallel structure; (iv) linguistic mapping between its input and output variables; and (v) non-parametric conditional mean interference estimation. Two criteria have been derived to obtain the ''working region'' of the fuzzy canceller, which has been adapted using a reduced cost recursive least squares (RLS) algorithm. Simulation results show that the fuzzy filter is able to cope with whatever shape of interference in its working region successfully.
Year
DOI
Venue
2006
10.1016/j.sigpro.2005.08.002
Signal Processing
Keywords
Field
DocType
spread spectrum communication,rls,rule base,interference suppressor,fuzzy filter,fuzzy logic,working region,spread spectrum,adaptive line enhancement,narrow band interference suppression,subtractor narrow band interference,non-linear estimation,non-parametric conditional mean interference,ds-cdma system,fuzzy canceller,fuzzy systems,different nbi model,fuzzy system,rule based
Control theory,Fuzzy logic,Input/output,Adaptive filter,Interference (wave propagation),Fuzzy control system,Mathematics,Recursive least squares filter,Spread spectrum,Estimator
Journal
Volume
Issue
ISSN
86
5
Signal Processing
Citations 
PageRank 
References 
3
0.40
17
Authors
3
Name
Order
Citations
PageRank
Joan Bas173.52
Ana Pérez2557.74
m a lagunas hernandez3194.26