A Novel Parameter-Tuned Stochastic Resonator for Binary PAM Signal Processing at Low SNR

To improve the receiving performance of binary pulse amplitude modulated (BPAM) signal at low signal-to-noise ratio (SNR), a novel parameter-tuned stochastic resonator (PSR) is proposed. In this letter, we propose a new method for PSR which combines the conventional stochastic resonance (SR) approach based on classic adiabatic approximation theory with the non-conventional SR approach based on parameter tuned theory. Based on this method, we derive an analytical expression of the parameters of SR system. By tuning the parameters of SR system according to the proposed method, there exists a cooperative effect that the BPAM signal is enhanced by the background noise, and the PSR-based receiver is easy to be implemented. Simulation results demonstrate that the bit error ratio (BER) performance of the nonlinear PSR-based receiver is superior to the linear optimal receiver at low SNR.