Weak Signal Enhancement Method based on Cascaded Bistable Stochastic Resonance System and Parameter Compensation
Gaohui Liu, Cao Weiwei
Abstract
Gaohui Liu, Cao Weiwei
Abstract
Aiming at the problem of weak multi-carrier signal detection in low signal to noise ratio, a weak signal enhancement method based on the cascaded bistable stochastic resonance systems is proposed. The first-stage bistable system transfers the noise energy to the low frequency region. The cascade system enhances the spectral amplitude of the signal in a certain frequency range, and achieves better output characteristics than a single-stage bistable stochastic resonance system. In the integral part of the mathematical model of the bistable stochastic resonance system, this paper adds the compensation parameters, and then makes the signal and noise pass through the cascaded bistable stochastic resonance system. The simulation results show that the weak multicarrier signal can be effectively enhanced by cascaded bistable stochastic resonance system under alpha steady-state noise.
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Aiming at the problem of weak multi-carrier signal detection in low signal to noise ratio, a weak signal enhancement method based on the cascaded bistable stochastic resonance systems is proposed. The first-stage bistable system transfers the noise energy to the low frequency region. The cascade system enhances the spectral amplitude of the signal in a certain frequency range, and achieves better output characteristics than a single-stage bistable stochastic resonance system. In the integral part of the mathematical model of the bistable stochastic resonance system, this paper adds the compensation parameters, and then makes the signal and noise pass through the cascaded bistable stochastic resonance system. The simulation results show that the weak multicarrier signal can be effectively enhanced by cascaded bistable stochastic resonance system under alpha steady-state noise.
Key concepts: Bistability, Stochastic resonance, Signal transfer function, SIGNAL (programming language), Control theory (sociology), Noise (video), Compensation (psychology), Signal-to-noise ratio (imaging)