Weak signal detection method based on Duffing oscillator

Kybernetes ◽  
2009 ◽  
Vol 38 (10) ◽  
pp. 1662-1668 ◽  
Author(s):  
Junguo Wang ◽  
Jianzhong Zhou ◽  
Bing Peng
2014 ◽  
Vol 568-570 ◽  
pp. 155-161
Author(s):  
Heng Zhi Lu ◽  
Zhi Hui Lai ◽  
Tai Hu Wu

In this paper, we study the scale-transformation weak signal detection method based on chaotic Duffing oscillator. Based on this, the frequency characteristics of the weak single-frequency signal with arbitrary frequency and initial phase can be extracted. Furthermore, we propose a signal frequency interception preprocessing method for analyzing weak multi-frequency signal. After combing the preprocessing method with the weak signal detection method based on chaotic Duffing oscillator, we further propose a novel detection method for weak multi-frequency signal. Based on this novel method, we can extract the frequency characteristics and initial phase characteristics of the weak multi-frequency signal. In this research, we also study the automatic detection of unknown multi-frequency signal. According to the numerical simulation, the novel method we propose in this paper is helpful to extract the frequency parameters and initial phase information of each signal component of the weak multi-frequency signal.


2015 ◽  
Vol 58 (10) ◽  
pp. 1-9 ◽  
Author(s):  
SongShan Ma ◽  
Ming Lu ◽  
JiaFeng Ding ◽  
Wei Huang ◽  
Hong Yuan

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