Análisis y simulación de algoritmos para detección de espectro en radio cognitiva

Abstract

This final career project describes briefly the cognitive radio technology like an alternative to solve problems related with spectrum scarcity and congestion. This technology has an essential task that consists in finding the idle frequency bands on the wideband spectrum. There are many algorithms to do this task and it is necessary to know their properties and characteristics. In order to do this, the final career project describes each technique and algorithm for spectrum sensing. Simulations in MATLAB for the more widely used algorithms (energy detection, cycloestationary detection and detection based on Wavelet transform) are presented. The main target of this study is finding out which algorithm offers the best performance on terms of detection precision and hardware resources.