Stochastic Resonance In Numerical Simulation Of Weak Signal Detection

Stochastic resonance is that noise and the periodic signal act on non-linear system, one kind of phenomenon that the noise energy produces to signal metastasis happened in the signal and noise under non-linear system coordination effect. The signal-to-noise ratio making use of stochastic resonance principle but improving system output height reaches the purpose distinguishing the weak signal. The method is compared with the routine linear filters; the stochastic resonance is not to remove noise but is that noise enlarges the signal energy improving the signal-to-noise ratio of output fully. At present, the similar theory of adiabatic elimination applies to the weak signal of periodic only (amplitude, frequency and noise intensity are smaller than 1 equally). For still being able to use similar theory of adiabatic elimination to get stochastic resonance phenomenon under big actual parameters, the problem has carried out the preliminary research and exploration on high frequency periodic signal detection.Computer emulation technology the main body of a book is applied, systematic research engineering survey is hit by common the relation between noise, signal and nonlinearity system and the best condition producing stochastic resonance , method carries out the preliminary research and exploration on high frequency signal detection. With the computer simulation and Runge-Kutta algorithm here, the new method of the adiabatic elimination SR principle for detecting a weak signal of high frequency is analyzed from the strong noise. Simulated result has indicated that the method improves the detecting ability of weak signal from the strong noise.The stochastic resonance technology has latent application value, hopeful with the future in the field of signal detection apply to practical measures of the signal processing. The detecting how to apply stochastic resonance technology to actual signal needs to do large amount of job.