Title :
A new non-linear system for estimating and suppressing narrowband interference in PN spread spectrum modulation
Author :
Perez-Neira, A.I. ; Roca, J. ; Lagunas, M.A.
Author_Institution :
Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
This work develops a novel dynamic fuzzy logic system that, based on a fuzzy basis function expansion, successfully solves the non-linear problem of narrowband interference prediction and rejection in DS-SS. A fuzzy basis function representation provides a natural framework for combining both numerical and linguistic information in a uniform fashion. The result is a low complexity non-linear adaptive line enhancer, which offers a faster convergence rate and an overall better performance over other well-known non-linear line enhancers
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; fuzzy logic; interference suppression; land mobile radio; modulation; personal communication networks; pseudonoise codes; radiofrequency interference; spread spectrum communication; DS-SS; PN spread spectrum modulation; convergence rate; dynamic fuzzy logic system; fuzzy basis function expansion; fuzzy basis function representation; linguistic information; low complexity nonlinear adaptive line enhancer; mobile communication; narrowband interference estimation; narrowband interference prediction; narrowband interference suppression; nonlinear line enhancers; nonlinear problem; nonlinear system; numerical information; performance; personal communication services; transversal adaptive filter; Additive noise; Frequency; Fuzzy logic; Interference suppression; Line enhancers; Narrowband; Niobium; Nonlinear filters; Spread spectrum communication; Wideband;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.679560
