自适应随机共振系统最佳参数设计

In order to reduce the complexity ofoptimal matching parameter design of stochastic resonance system and guarantee the optimality, we propose an optimal parameter design method. Byexploiting the matching between the low frequency referenceperiodic signal and Kramers rate and aiming at maximizing signal-to-noise ratio(SNR), we first obtain the optimal parameter of stochastic resonance systemwith respect to thereference periodic signal. Next, the optimal parameter of stochasticresonance systemwith respect to arbitrary periodic signalisderived based on scale transformation. The optimal parameter can be easily obtainedin our proposed stochastic resonance algorithm design. Thesimulation results show that the proposed method does not need any iterationprocess and is robust to the changes of signal and noise.