Analog Circuit Design of Normalized Bistable Stochastic Resonance Model and Its Application in Weak Signal Processing
Jin Liu, Zan Li, Qiguang Miao, Li Yang, Peihan Qi, Danyang Wang · 2024
The concept of stochastic resonance (SR) describes a counterintuitive phenomenon in which a weak signal can be enhanced by appropriate intensity of stochastic noise in a nonlinear bistable system, and it provides a new thought for weak signal processing. However, the classical SR theory has demonstrated that the resonance phenomenon occurs on condition that signal and noise obeying adiabatic approximation, i.e., signal with very low frequency and background gaussian white noise of variance less than one. Aiming at this, a normalized bistable stochastic resonance (NBSR) model can be built under adiabatic approximation condition. On this basis, using NBSR model as the reference model, SR technique can further be extended into practical weak signal processing in nonadiabatic approximation condition by linear conversion method. Considering key role of the NBSR model in building link between adiabatic approximation SR theory and it’s expansion into practical application, an analog circuit design of NBSR model is studied, which provides a solution to signal oversampling problem in NBSR system digital realization. Furthermore, both numeric and circuit simulation experiments are given to validate the correctness of the NBSR system analog circuit design.