Fuzzy logic based signal classification with cognitive radios for standard wireless technologies

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.