Transponder Signal Detection Simulation Based on Variable Scale Stochastic Resonance Theory

In order to achieve high-precision detection of transponder uplink signals submerged in a noisy environment, a method for detecting transponder uplink signals based on stochastic resonance theory is proposed in this paper. The method takes advantage of the fact that the signal, nonlinear system and noise can be optimally matched to convert the noise energy into signal energy, thus improving the signal-to-noise ratio. In order to make the balise uplink signal meet the requirements of the stochastic resonance theory, the characteristics of the balise uplink signal are first analyzed. Then, the balise uplink signal is normalized and scaled according to the requirements of the stochastic resonance theory. Finally, MATLAB software is used to select appropriate parameters to simulate the system. The simulation results show that the uplink of the transponder can meet the signal detection requirements of the stochastic resonance system with high detection accuracy after normalization and scaling processing.