Bayesian Energy Detection Based on Temporal Persistence

摘要

Energy detection is one of the classical methods for spectrum sensing in Cognitive radio (CR). Previous research on energy detection is almost based on single time slot, while the communication process of the primary user (PU) is hardly completed in one time slot. In this study, the authors consider 2-slot temporal persistence (TP) that PU maintains the same state (absence or presence) for at least 2 slots. Since we cannot know the actual state of PU in spectrum sensing, two kinds of TP results are obtained, based on which an improved TP-based Bayesian Energy Detection (ITPBED) is proposed. Simulation results show that, compared with TPBED, ITPBED scheme can achieve significant reduction in false alarm probability, missed detection probability and Bayesian cost when signal-to-noise ratio (SNR) is less than -10 dB; in other SNR regions, the performance of ITPBED scheme is also superior to Bayesian Energy Detection (BED) scheme.