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

机译:粒子滤波跟踪混沌蔡氏电路状态的实验研究

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摘要

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. (C) 2008 Elsevier B.V. All rights reserved.
机译:这封信的目的是通过实验研究用粒子滤波器跟踪模拟蔡氏电路状态以实现混沌同步的可行性。提出并描述了这种基于数字滤波器的同步方法的结构。通过PSpice仿真和物理实现的Chua电路生成的发射信号通过加性高斯白噪声(AWGN)通道到达由模数转换器(ADC)和粒子滤波器(PF)组成的接收器。 ADC用于采样模拟信号,PF用于估计和跟踪发射电路的状态以获得同步振荡信号。实验结果表明,即使电路参数未知或时变,也可以使用这种方法来同步模拟蔡氏电路。此外,还研究了不同信噪比(SNR),ADC采样频率和PF状态采样时间对同步性能的影响,以进一步了解这种同步方法。 (C)2008 Elsevier B.V.保留所有权利。

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