Unknown Weak Signal Detection Based on Duffing Oscillator

Chaotic systems are widely used to detect the weak signal of the noise background. The effect of the noise in the detection is often ignored because of the characteristics of sensitive to certain signals and inert to noise. However, it's found that, chaotic system has low noise immunity for som...

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Veröffentlicht in:Sensors & transducers 2014-01, Vol.162 (1), p.190-190
Hauptverfasser: Ji, Changpeng, Guo, Wei-Ping, Ji, Honghong, Liu, Minkang
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creator Ji, Changpeng
Guo, Wei-Ping
Ji, Honghong
Liu, Minkang
description Chaotic systems are widely used to detect the weak signal of the noise background. The effect of the noise in the detection is often ignored because of the characteristics of sensitive to certain signals and inert to noise. However, it's found that, chaotic system has low noise immunity for some different variance of noise after a large number of experiments, which makes mistake for the signal to be measured, in this article, the affection of noise to weak signal detection is analyzed. The method of using cross-correlation detection system to process the signal is proposed, which can suppress noise. Also, the cyclic algorithm is introduced to the chaotic array which is universal poor and difficult to achieve with the application. This method is simple to operate and the simulation results have high accuracy.
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source EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Arrays
Chaos theory
Duffing oscillators
Fault diagnosis
Inert
Low noise
Noise
Phase transitions
Signal detection
Transducers
title Unknown Weak Signal Detection Based on Duffing Oscillator
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