Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Fuzzy Systems as Universal Approximators
IEEE Transactions on Computers
Recurrent radial basis function networks for optimal symbol-by-symbol equalization
Proceedings of the COST #229 international workshop on Adaptive methods and emergent techniques for signal processing and communications
Fuzzy engineering
Multiuser Detection
Introduction to mathematical techniques in pattern recognition
Introduction to mathematical techniques in pattern recognition
Potential Functions in Mathematical Pattern Recognition
IEEE Transactions on Computers
A new narrowband interference suppression scheme forspread-spectrum CDMA communications
IEEE Transactions on Signal Processing
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
Self-organizing packet radio ad hoc networks with overlay (SOPRANO)
IEEE Communications Magazine
New nonlinear algorithms for narrowband interference suppression in CDMA spread-spectrum systems
IEEE Journal on Selected Areas in Communications
Are artificial neural networks black boxes?
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
Neuro-fuzzy logic in signal processing for communications: from bits to protocols
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
International Journal of Communication Systems
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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.