Weak signal detection system based on double resonance

Abstract

The invention discloses a weak signal detection system based on double resonance. The weak signal detection system based on the double resonance is composed of a sensor, a signal generating module, a coupling bistable system and a data acquisition module, wherein a signal, to be detected, which contains noise and is acquired by the sensor serves as input of a controlled system of the coupling bistable system, and a single-frequency signal, with the tunable frequency, generated by the signal generating module serves as a control signal to be input into a controlling system of the coupling bistable system. The coupling bistable system which is formed by coupling of a controlled unit and a controlling unit is composed of a summator, an integrator, an amplifier and a multiplier. Under the action of the control signal, the double resonance exists in the coupling system, the resonance in the controlling unit can effectively increase the stochastic resonance in the controlled unit, and after the data acquisition module acquires output of the coupling bistable system, weak signals under the noise condition can be detected through frequency-domain analysis.

Description

technical field [0001] The invention relates to a detection system for detecting weak signals under the background of strong noise by utilizing the stochastic resonance enhancement method of double resonance. Background technique [0002] Since the concept of stochastic resonance was proposed by Benzi et al. in 1981 when they studied the ancient meteorology of the earth, stochastic resonance has been widely used in biomedicine, chemistry, and mechanical equipment because of its advantages of enhancing signal transmission ability in signal processing. Fault detection and the like involve the field of weak signal processing. The stochastic resonance phenomenon means that under the combined action of the input signal and noise, the output signal-to-noise ratio of the nonlinear system exhibits a non-monotonic change as the noise intensity gradually increases. Traditional weak signal detection methods, such as linear amplification and linear filtering, focus on suppressing noise...

AI Technical Summary

Problems solved by technology

However, in practical applications such as threshold systems and biological systems, the structural parameters of bistable systems are often fixed, and stochastic resonance cannot be controlled by directly changing their potential barriers and thresholds.

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