Demonstrates effective reconstruction of noisy pulse signals in weak pulse scenarios, suggesting significant implications for signal detection.
In this paper, two stochastic resonance systems for reconstructing noise-containing pulse signals are designed based on Fabry-Perot cavity with 3D DSM. The effects of different parameters in two stochastic resonance systems on bistability are analysed, the cross-correlation coefficient and cross-correlation gain between the original input signal, the input signal, and the output signal are calculated as a means of evaluating their signal reconstruction performance. The results show that their maximum cross-correlation gains reach 3.2 and 3, respectively, both stochastic resonance systems can effectively reconstruct noisy pulse signals. By comparing the simulation data of the two systems, it is known that the stochastic resonance system using photonic crystals can effectively reduce the need for pulse signal strength and noise intensity. This study provides an effective means of detecting weak pulse signals.
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