Experimental study on tracking the state of analog Chua's circuit with particle filter for chaos synchronization

The aim of this Letter is to study by experiment the feasibility of tracking the state of analog Chua's circuit with particle filter for chaos synchronization. The structure of this digital-filter-based synchronization approach is proposed and depicted. The transmitted signals, generated from PSpice simulations and a physically implemented Chua's circuit, get through an additive white Gaussian noise (AWGN) channel to a receiver consisting of an analog-to-digital converter (ADC) and a particle filter (PF). The ADC is used to sample the analog signals and the PF is used to estimate and track the state of the transmitting circuit to obtain synchronized oscillation signals. Experiment results indicate that it is possible to use this approach to synchronize analog Chua's circuit, even if the circuit parameters are not known exactly and time-varying. In addition, the effects of different signal-to-noise ratio (SNR), ADC sampling frequency and PF state sampling time on synchronization performance are also studied for further understanding of this synchronization approach.