Research On Bistable Stochastic Resonance Detection Method For Large Parameter Signals Under ? Noise

In the signal detection,the traditional method basically achieves the purpose of weak signal detection by suppressing noise,because the conventional viewpoint is that noise is a disadvantage,which hinders signal transmission and detection.The emergence of nonlinear stochastic resonance breaks the inherent idea,which uses the coordinated matching of noise,signal and nonlinear system to transfer part of the energy of the noise to the useful signal to enhance the useful signal.Due to the pulse characteristics of a steady-state noise,it can accurately reflect multi-user interference,low-frequency atmospheric noise and other artificial or natural electromagnetic impulse noise characteristics in wireless communication,and satisfy the generalized central theorem.Therefore,this section combines a steady-state noise with a bistable system to study the characteristics of single-carrier and multi-carrier high and low frequencies.The main content of this articles includes:1.Based on the combination of a steady-state noise and bistable stochastic resonance system,a weak single-carrier bistable system model with a steady-state noise is established.The numerical solution of the single-carrier bistable stochastic resonance system model under a steady-state noise is given.The single-carrier stochastic resonance phenomenon with very low frequency and the single-carrier stochastic resonance phenomenon with higher frequency are studied.The research results show that when the signal frequency is extremely low,that is,under the condition of adiabatic approximation theory,the system can generate stochastic resonance by selecting appropriate system parameters.When the signal frequency is high,the system can also generate random resonance by giving appropriate compensation parameters.2.This section discusses the effects of subsampling on the input signal spectrum and the Langevin equation model.The gain characteristics of the bistable stochastic resonance system for different frequency components are analyzed,and the parameter compensation method is given.The fourth-order Runge-Kutta recursive algorithm of Langevin equation is improved.The numerical recursive model of Langevin equation based on subsampling and parameter compensation is established.The influence of the calculation step size on the accuracy of the Langevin equation and the output state of the bistable system is discussed.The simulation results and numerical analysis under steady-state noise show that for large parameter input signals,weak multi-carrier signals can be effectively enhanced by selecting suitable calculation steps and compensation parameters in the bistable stochastic resonance system.3.Aiming at the problem of weak multi-carrier signal detection in complex environments,this paper proposes a cascaded bistable system.The simulation results and numerical analysis under steady-state noise show that the output signal is enhanced under the cascaded bistable stochastic resonance of the large parameter input signal,but if the first-stage bistable stochastic resonance does not produce resonance,the result of the final bistable stochastic resonance system output will not appear resonance phenomenon.The results show that the bistable stochastic resonance in the a steady-state noise environment is either single-carrier or multi-carrier,whether it is a small parameter signal or a large-parameter signal,by adjusting the system parameters or performing sub-sampling or parameter compensation.When the noise,signal and nonlinear bistable stochastic resonance system are matched and matched,the noise energy is transferred to the signal energy,so that the signal energy is enhanced to achieve the purpose of weak signal detection.