Abstract:

The inertial sensor signals’ realtime processing method based on stochastic resonance is studied. First, according to the realtime property, the numerical algorithm of the Runge Kutta method and the corresponding improvements are studied and determined, which solves the problem of realtime processing. And then the system parameters’ influence on the recovery of the signals is studied and finally the better parameters of the system are determined. The simulation results show that the static signal zero drift value is greatly improved, and the dynamic signal’s signal-to-noise ratio is increased by about 20 dB. At the same time, in order to further validate the algorithm,the real time processing is implemented by digital signal processor at the sampling frequency 5 000 Hz and the results verify that inertial sensor signal real-time processing requirements can be met. The proposed algorithm can effectively meet real-time processing of inertial sensor signal’s, thereby providing an important reference for the application of stochastic resonance theory in inertial sensor signal processing.