2006•Transducer and Microsystem TechnologiesRequires access

Modulated stochastic resonance and its application in weak signal detection

Yongmei Huang

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Abstract

A modulated method based on stochastic resonance is put forward to detect the weak signals in rather broad frequency range,according to the characteristic of stochastic resonance produced in rather low frequency range in nonlinear bistable system.The theory analysis and experiment results show that the energy and SNR of the output signal modulated synergetic effect are both improved evidently,and the ability of detecting weak signals with strong noise is enhanced.This method can be adapted to develop the information resources of nonlinear bistable system within low frequency range.

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What this paper is about

A modulated method based on stochastic resonance is put forward to detect the weak signals in rather broad frequency range,according to the characteristic of stochastic resonance produced in rather low frequency range in nonlinear bistable system.The theory analysis and experiment results show that the energy and SNR of the output signal modulated synergetic effect are both improved evidently,and the ability of detecting weak signals with strong noise is enhanced.This method can be adapted to develop the information resources of nonlinear bistable system within low frequency range.

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Available abstract

A modulated method based on stochastic resonance is put forward to detect the weak signals in rather broad frequency range,according to the characteristic of stochastic resonance produced in rather low frequency range in nonlinear bistable system.The theory analysis and experiment results show that the energy and SNR of the output signal modulated synergetic effect are both improved evidently,and the ability of detecting weak signals with strong noise is enhanced.This method can be adapted to develop the information resources of nonlinear bistable system within low frequency range.

Key concepts: Stochastic resonance, Bistability, Nonlinear system, SIGNAL (programming language), Resonance (particle physics), Range (aeronautics), Noise (video), Energy (signal processing)

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