A new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory

In the field of weak signal detection, traditional ways have difficulties in extracting characteristic line-spectrum from low signal-to-noise (SNR) signal. In order to solve the problem, on the basis of the adiabatic elimination stochastic resonance (SR) in small parameters, a new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory was proposed. Firstly, this method uses auto-correlation process to eliminate part of the noise, and then it imports the processed data into stochastic resonance system for weak line-spectrum detection. The result of simulation proves the effectiveness of this designed method.