A memristor-based chaotic oscillator for weak signal detection and its circuitry realization

A new type of weak signal detection system that combines the memristor and Van der pol-Duffing chaotic system has been proposed in this paper, and the dynamic characteristics of the system are studied. It is observed that the system can change from a chaotic state to a periodic state under different driving force amplitudes. Moreover, the numerical simulation results show that the detection accuracy of the system is up to 1×10-9\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1\times 10^{-9}$$\end{document}, and the detectable signal-to-noise ratio reaches -163dB. Compared with several classical chaotic oscillators, the detection accuracy is nearly two orders of magnitude higher, the anti-noise performance is doubled, and the detection range is wider. More importantly, this paper provides the circuit implementation scheme of the system, and the weak signal can be detected with our designed circuit. This may offer a possible way for weak signal detection system with good performance in anti-noise performance, detection range and accuracy.