Adaptive cascaded-bistable stochastic resonance system research and design

摘要

The adaptive cascade system we introduced, which can adjust the parameter both a and b, using a LMSa (Least Mean Square Error) method to solve the parameter adaptive in cascaded-bistable SR, extends the parameters' adjustment range, and computes the optimal parameters of the system on condition that we get maximum signal to noise ratio (max SNR) and maximum spectrum peak (Pymax)b. The systerm resolves the difficulty that manually parameter adjustment cannot efficiently achieve best stochastic resonance in the current cascade system, a double standard decided by max SNR and max Py is used to determine the optimal parameters of the system. Using matlab program and simulate the process that signal inputs system, we obtain several groups of data when several different frequency signals get best SR state in this systerm, respectively. Each group of data includes optimal parameter, weight vector, MSN, Pymax, time-domain map of output signal and output signal spectrum of the system. This adaptive cascade system has strong adaptability and wide application prospect in engineering field such as weak signal detection, PAM signal transmission etc.