Energy-detection based spectrum sensing for cognitive radio

In this paper we investigated the energy detection technique for spectrum sensing in cognitive radio systems. The detection performance and the impact of the noise uncertainty on the detection probability are analyzed theoretically. To deal with the hidden terminal problem and the local spectrum sensing in wireless signal detections, a distributed M- cooperative sensing scheme is proposed. Through analysis and simulation, we have shown the benefits of the proposed scheme in increasing the agility of cognitive radio systems. With small tradeoffs between the detection probability and the false alarm probability, the scheme improves the spectrum sensing ability greatly in low SNR situations.