Paper Info
Title
Detecting Weak Signals By Using Memristor-Involved Chua'S Circuit And Verification In Experimental Platform
Abstract
Since the traditional detection methods cannot accurately detect, determine and extract weak signals, the extreme sensitivity of chaotic systems to initial values is used for weak signal detection using a memristor-based chaotic system. Then, in order to find out all kinds of static nonlinear circuits suitable for Chua's circuit with identical parameters, a comparative research platform is designed to generate five kinds of nonlinearity by taking advantage of the active short-circuit line method using the memristor-involved chaotic Chua's circuit. The comparative research platform consists of three parts: a linear circuit unit, multiple nonlinear static function circuits and a nonlinear characteristic curve measurement unit connected by an electronic switch. By pressing the space bar, the switch between the active short-circuit line and the physical short-circuit line can be realized. The diffeornorphism between them is proved by comparing the memristive nonlinearity shape and the trilinear amplitude limiting the nonlinearity in the chaotic systems. Accordingly, hardware circuit experiments are carried out to verify the effectiveness and feasibility of the comparative research platform with various nonlinearity for Chua's circuit. A good agreement is shown between the numerical simulations and the experimental results.
Year
DOI
Venue
2020
10.1142/S021812742050193X
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
Active short-circuit line method, memristor-based chaotic circuit, volt-ampere characteristic curve, weak signal detection, diffeomorphism
Journal
30
Issue
ISSN
Citations 
13
0218-1274
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Li Xiong102.03
Xinguo Zhang231.06
Sufen Teng300.34
Liwan Qi400.34
Peijin Zhang5313.58