A Novel Detector Based on Parameter-Induced Bistable Stochastic Resonance for FSK Signal Processing at Low SNR

Abstract

To improve the bit error ratio (BER) performance of frequency shift keying (FSK) signals transmission over additive white Gaussian noise (AWGN) channel at low signal-to-noise ratio (SNR), a novel detector based on parameter-induced bistable stochastic resonator (PBSR) is proposed in this paper. By adopting a new method combining classic adiabatic approximation stochastic resonance (SR) theory and non-classic parameter-induced SR theory, an analytical expression of bistable system parameters is derived. Further, a PBSR system is established by tuning bistable system parameters according to the proposed method, and it is proved that the weak FSK signal can be enhanced by the background AWGN using the PBSR technique. By introducing the PBSR as the preprocessor of the coherent and non-coherent detector for FSK, the SNR of a received signal can be increased using PBSR, which ensures that the BER performance of the PBSR-based detector is superior to that of the traditional coherent and non-coherent FSK detector. Simulation results validate the effectiveness of the PBSR-based detector for FSK signal processing at low SNR.