Abstract
Cognitive radio (CR) is being considered as a promising technology to improve the spectral usage and coexistence behavior of radio systems. The CR can work as a secondary user (SU) in coexistence with primary user (PU) systems without generating harmful interference for them. However, the performance of a SU greatly depends on its abilities to become aware of its radio environment. The more knowledge a CR can acquire from PU systems, the better it will be equipped to optimize its performance in a coexistence environment. Ideally, it would like to classify the PU systems with respect to existing ‘known standards’. Research has been done in the area of signal classification with respect to modulations. We present a novel approach based on fuzzy logic (FL) to classify signals with respect to standards on the basis of known radio parameters.
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