A Method of Weak Signal Detection Based on Large Parameter Stochastic Resonance

摘要

Aiming at weak signal detection based on large parameter stochastic resonance (LPSR), frequency-shifted and rescaling stochastic resonance (FRSR) is used to obtain the weak feature of signals submerged in noise. An improved variable step algorithm is combined to the FRSR in this paper, we use the variable step to take place of a traditional fixed value after shifting and rescaling the frequency. It has been shown marked detection efficiency of the method by the results both in the simulation and engineering application.