Characteristics Analysis of Globally Cascaded Stochastic Resonance.

The utilization of noise energy for signal enhancement through random resonance has shown promise in improving the accuracy of underwater passive sonar for detection and localization. However, single-layer stochastic resonance(SR) systems exhibit limited filtering effects, and the issue of cascading failure arises in traditional locally cascaded stochastic resonance(LCSR) systems due to individual optimization of system parameters. To address these challenges, this paper investigates the globally cascaded stochastic resonance(GCSR) system, which leverages the synergy between sub-systems and employs a holistic approach by using the signal-to-noise ratio (SNR) at the last stage as a measure to further enhance the signal enhancement performance of the stochastic resonance system. The collaborative and distribution characteristics among GCSR subsystems are analyzed, and a comparative study of the frequency response, filtering performance, and noise resistance capability is conducted between SR, LCSR, and GCSR systems. Multiple validations demonstrate significant improvements in the signal enhancement performance of the GCSR system, particularly in low SNR conditions, compared to SR and LCSR systems.