Weak Signal Detection Based on the Nonlinear Dynamic Model

Abstract:

In order to obtain new ways of weak signal detection, we analyzed the motion states of nonlinear dynamic model Duffing oscillator in the case of different amplitude of input signals by solving the Duffing equation and expounded the basic principles of weak signal detection based on Duffing oscillator phase-change characteristics, further illustrated the relationship between signal detection accuracy and detection time by the experimental, researched the impact on signal detection coming from Gaussian white noise and also pointed out how to use intermittent chaos state to implement weak signal detection. The results showed that Duffing oscillator can be effectively detect the slight changes of input signal in the strong noises background, so as to achieve the purpose of weak signal detection. Compared with existing methods, it could greatly improve the detection results.

• Periodical: Applied Mechanics and Materials (Volumes 157-158)
• Pages: 887-891
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.157-158.887
• Online since: February 2012
• Authors: Xuan Chao Liu, Pei Pei Li
• Keywords: Chaos, Duffing Oscillator, Nonlinear Dynamics, Weak Signal Detection, White Noise

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