The Adaptive Stochastic Resonance Signal Detection System Based on the Multi-Point Random Search Algorithm

Abstract:

A model of adaptive stochastic resonance system based on the multi-point random search algorithm is proposed, and a weak signal detection system of adaptive stochastic resonance is established on the LabVIEW development platform. In this detection system, the typical nonlinear bistable system is used as the core of signal processing, and the system output signal-to-noise ratio is chosen as the optimizing objective function. The system structure parameters can be adjusted adaptively by using the multi-point random search algorithm, on which the optimal state of stochastic resonance of the system can be remained and the frequency of the weak signal can be obtained. Influences of the system parameters and the Gaussian noise on the stochastic resonance can be detected by this system. Experimental results show that this detection system is efficient, and has potential applications.

• Periodical: Applied Mechanics and Materials (Volume 339)
• Pages: 409-415
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.339.409
• Online since: July 2013
• Authors: Shui Lin Tu, Zheng Yang Wu, Zhen Yi Wu
• Keywords: Adapting, Multi-Point Random Search, Signal Detection, Stochastic Resonance

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