Aan Accurate Multi-Stage Energy Detection Spectrum Sensing

In this paper, we propose a Multi-Stage Energy Detection (ED) algorithm for spectrum sensing. Using an accurate modeling for the energies at different stages, the algorithm can minimize the average required number of samples to achieve the overall target performance, measured in terms of probabilities of detection and false alarm. Specifically, the algorithm determines the required target performances and the number of sensing samples at each stage accurately in order to achieve the overall target performance. Simulation results show a significant decrease in the number of samples needed to achieve the target performance in case of the proposed algorithm compared to the conventional single stage ED. Moreover, unlike other studies in the literature, the simulations show that the proposed algorithm can maintain the target probabilities of detection and false alarm due to the accurate modeling of the problem.