Breaking the SNR wall of spectrum sensing in cognitive radio by using the chaotic stochastic resonance

A novel spectrum sensing technique in cognitive radio (CR) networks based on chaotic stochastic resonance (CSR) is proposed in this paper. By introducing the received signal into the CSR system, the signal-to-noise ratio (SNR) of the signal can be improved, which can lead to the decrease of the SNR wall in the traditional energy detector and reduce the sample complexity needed to reach certain detection performance. Theoretical analyses and computer simulations validate the effectiveness of the proposed CSR-based spectrum sensing approach.