Parameter search range determining method based on adaptive random resonance

Abstract

The invention discloses a parameter search range determining method based on adaptive random resonance. The parameter search range determining method based on adaptive random resonance comprises the following steps of outputting an upper limit (amax) and a lower limit (amin) of a stable first parameter (a), which needs to be determined, of a random resonance system according to outputting of the random resonance system; determining a lower limit (bmin) of a second parameter (b) of the random resonance system according to the lower limit (amin) of the first parameter (a); transmitting a mixing signal to the random resonance system; calculating power spectra outputted by the random resonance system; continuously increasing the second parameter (b) of the random resonance system by using a fixed step length as a change interval until the power spectra are diverged; and using the second parameter (b), which corresponds to a previous operation of diverging of the power spectra, of the random resonance system as an upper limit (bmax) of the determined parameter (b) of the random resonance system. By the parameter search range determining method based on adaptive random resonance, the complexity of an algorithm is reduced effectively, and the success rate of induced random resonance is improved.

Description

technical field [0001] The invention relates to the technical field of weak signal detection, in particular to a parameter search range determination method based on adaptive stochastic resonance. Background technique [0002] Since BenZi et al. put forward the concept of stochastic resonance in 1981 in the study of paleoclimate glaciers, the phenomenon of stochastic resonance has received extensive attention. The stochastic resonance phenomenon is a nonlinear phenomenon. Under certain conditions, it transfers part of the noise energy to the signal. While reducing the noise, it can resonate and strengthen the weak signal submerged in the noise, greatly improving the output signal-to-noise ratio, so as to achieve the purpose of detecting weak signals from strong noise environments. [0003] The adaptive stochastic resonance algorithm can automatically adjust system parameters to induce resonance according to different signals to be detected, so as to realize the detection of...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the traditional adaptive stochastic resonance can only rely on experience to preset the parameter search range. A method for determining the parameter search range based on adaptive stochastic resonance is provided, which not only effectively reduces the algorithm complexity, Moreover, the success rate of inducing stochastic resonance is improved

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