Study On Detection Method Of Weak Electromagnetic Information Based On Stochastic Resonance

In information age,computers are widely used in various fields,including government,military,security agencies,and banking departments.They greatly improve work efficiency,but at the same time bring information security issues.Electromagnetic information leakage caused by electromagnetic radiation is one of the major safety issues.Electromagnetic waves radiated by information equipment contain useful information or confidential information.It has become an important way for the enemy to steal confidential information due to its unintentional and concealment.Therefore,it is of great significance and urgency to carry out the electromagnetic information security detection,eliminate major security threats,and ensure system information security.In field of electromagnetic information security detection,conventional timefrequency processing methods adopt noise suppression to obtain signals.In traditional complex noise environments,these traditional methods have bottlenecks when detecting weak electromagnetic information.In this paper,stochastic resonance detection method is introduced into this field to solve the bottleneck problem of weak electromagnetic information detection.Stochastic resonance detection method,compared with the traditional method mentioned above,has the characteristics of converting the noise energy into signal energy,which is a unique advantage of the mechanism.At the same time,the method has low computational complexity and can be quickly optimized under the condition of short data sets.Therefore,it has great potential in electromagnetic information leakage detection.The stochastic resonance method has received extensive attention and research since its introduction,but it has not been perfected in theory.In the practice of electromagnetic information detection,these shortcomings are reflected in such aspects as how to achieve accurate and rapid detection,how to avoid missed detection and misjudgment.Therefore,there are still many problems that need to be solved one by one.There are two main points in this work.One is to apply stochastic resonance to the electromagnetic information security detection technology;the other is to solve the problem of stochastic resonance theory at the same time.Through theoretical derivation and research on the classical bistable model and mathematical description of stochastic resonance,the existing theoretical deficiencies are analyzed,and some key problems are solved,and the theoretical results are applied to electromagnetic information leakage detection.In order to grasp the nonlinear dynamic characteristics of the bistable system in detail,the project carried out one-by-one analysis of each parameter involved in the system,including potential function,amplitude and frequency of the signal,sampling rate,iteration step size and noise factor.It is found that the existing theory cannot explain the phenomenon,that is,the chaotic phenomenon and two kinds of transition forms existing in the system.The chaotic decision function is proposed through research,and the relationship between chaotic phenomena and forward transition,reverse transition,output phase and waveform distortion is analyzed.In order to break the "black box" state of the bistable system,we study the trajectory of multiple signal sources in bistable system under the conditions of small parameter and large parameter.The signal sources include common cosine wave,triangular wave,square wave,sawtooth wave and damping wave.By extensively studying particle trajectory driven by various signal sources,the widespread existence of chaos phenomena,clockwise transition and counterclockwise transition is confirmed.On the basis of a large number of experiments,the internal state of bistable system is classified,and the state judgment rule and the state observer of the bistable system are proposed.State observer changes bistable system to an observable system from "black box",that is,the problem that bistable system is controllable but invisible is solved.We demonstrate the synchronous changes of internal state of bistable system during the parameter adjustment process,analyze the difference between evaluation index and system state,find the blind zone of evaluation index and analyze its interference that may occur in the system optimization process.For the parameter limitation problem in classical mathematical description,we explain it from a new perspective of spatial mapping relationship and system state.The stochastic dynamic description equation of bistable system is nonlinear and contains time-varying item,which make it impossible to find an exact expression of any solution.Since the adiabatic approximation theory and the linear response theory use the Kramer transition rate to derive the approximate solution,that introduces the small parameter condition.However,when the optimization of stochastic resonance is explained based on spatial mapping,the small parameter condition is avoided because there are no parameter constraints.Aiming at the optimization of stochastic resonance,we propose a PSO(particle swarm optimization)adaptive stochastic resonance algorithm based on state observer.The PSO algorithm has the ability of global optimization to automatically adjust the structure of stochastic resonance.By constructing composite fitness function,internal state of system is combined with statistical indicator to solve the blind zone problem of the latter,and avoid falling into local extremum,and thus quickly optimizing the system.The study of stochastic resonance for weak electromagnetic leakage signal has achieved good practical results,which provides theoretical basis and experimental results support for subsequent research,and is conducive to promoting the development of related technologies in the field of electromagnetic information security.