PSO optimized SVD based signal detector for Cognitive radio Networks

Abstract: Spectrum sensing is the basic component in cognitive radio. This paper value decomposition (SVD) and particle swarm optimization (PSO) optim detect the presence of primary wireless signal. We simulated the algorithm using common digital signal communication namely rectangular pulse, raised cosine and root This algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. Simulation results show that PSO optimized SVD gives better result in the low signal to noise (SNR) environment

Keywords: Cognitive radio, Particle swarm optimization, S algorithm, Spectrum sensing.