Adaptive Bistable Stochastic Resonance Aided Spectrum Sensing

Spectrum sensing is a fundamental technology to detect the presence of primary users (PU) in cognitive radio. Usually, the spectrum sensing scheme is required to have good performance even in extremely low signal-to-noise ratio (SNR) environments. In this paper, we proposed a novel spectrum sensing method based on adaptive bistable stochastic resonance (A-BSR) to meet this requirement. For the proposed A-BSR aided spectrum sensing scheme, the received signal is first passed through an A-BSR system to improve SNR. Furthermore, we proposed a novel simple but efficient energy detection (ED) scheme to make decision on the existence of PU's signal. Extensive simulation results show that the proposed A-BSR aided novel ED based spectrum sensing can achieve much better performance than exiting ED and bistable stochastic resonance aided ED based spectrum sensing schemes.