This work develops a novel adaptive fuzzy line enhancer that, based on a fuzzy basis function expansion, successfully solves the non-linear problem of narrowband interference estimation and rejection in direct sequence-spread spectrum (DS-SS) in non-stationary environments. A fuzzy basis function representation provides a natural framework for combining both numerical and linguistic information in a uniform fashion and towards a least-mean-square objective. The result is a low complexity non-linear adaptive line enhancer (ALE), which presents a fast acquisition time and a better SNR improvement than other well-known non-linear ALEs. ; Peer Reviewed ; Postprint (published version)
An adaptative fuzzy logic enhancer for rejection of narrowband interference in DS-Spread Spectrum
1998-01-01
Miscellaneous
Electronic Resource
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació , Personal communication networks , Parallel algorithms , Adaptive filters , Least mean squares methods , Filtering theory , Telecommunication , Telecomunicació , Spread spectrum communication , Interference suppression , Nonlinear filters , Land mobile radio , Fuzzy logic , Adaptive signal processing
DDC: | 629 |
An Example of Adaptative Neuro-Fuzzy Controller
British Library Conference Proceedings | 1994
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