Weak Signal Detection Based On The Parallel Stochastic Resonance

From a strong background noise detected a weak signal has been useful more widely applied to engineering practice, including extracts from marine sources of noise in the atmosphere to detect earthquake casualties, a weak variation of biomass and mechanical equipment failure aspects of diagnosis have a good application. Given that the application of increasingly wide range of weak signal gradually developed a weak signal detection study. Detection of weak signals is law of the number of science, dynamics, electronics and statistics, developed and additional noise in the input signal based on the noise intensity weaken or find ways to suppress noise and extract the useful signal, thus to reduce SNR purpose. Weak signal detection technology continues to develop, a single detection method has changed from the initial linear detection method gradually developed into a comprehensive nonlinear reverb. The authors review the literature to find out a lot a noise energy will be able to go through some kind of role in converting the signal method, namely the principle of stochastic resonance.Stochastic resonance is a useful signal to noise as through transition effect bistable system to make the weak signal enhancement phenomenon. Stochastic resonance system is bistable system by contributing to noise and signal, so the theory of stochastic resonance in bistable system need to adjust the parameters of the system and the input signal reaches a resonance state, in this state noise energy transitions occur and useful signal superimposed to go. By the authors of the output will be different stochastic resonance autocorrelation and cross-correlation analysis of the parallel.Finally, the parallel detection of stochastic resonance signal is applied to the project rolling bearing fault signals, the validity of the method.Weak signal detection methods for stochastic resonance more attention by scholars, it is constantly expanding field of research,it will become increasingly wide range of applications, and the application of stochastic resonance for the detection of weak signals will become more and more handy in the near future.