scholarly journals A new method of weak signal detection using Duffing oscillator and its simulation research

2008 ◽  
Vol 57 (4) ◽  
pp. 2053
Author(s):  
Wang Yong-Sheng ◽  
Jiang Wen-Zhi ◽  
Zhao Jian-Jun ◽  
Fan Hong-Da
Keyword(s):  
Signal Detection ◽  
Duffing Oscillator ◽  
New Method ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Simulation Research

Variance Based Identification of Phase Transition in Duffing Oscillator for Weak Signal Detection

2011 ◽  
Vol 128-129 ◽  
pp. 354-358 ◽  
Author(s):  
Yuan Chang ◽  
Chun Wen Li ◽  
Yi Hao
Keyword(s):  
Phase Transition ◽  
Signal Detection ◽  
Periodic Motion ◽  
Sharp Increase ◽  
Duffing Oscillator ◽  
Periodic Signal ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Periodic Signals ◽  
Simulation Results

This paper studies the detection of weak signal detection using a Duffing Oscillator, which is sensitive to periodic signals but insensitive to noises. The system transits from chaotic to great periodic motion when coupled to the weak periodic signal to be detected. To efficiently determine the phase transition, a novel numerical criterion is proposed based on the sharp increase of variance when phase change happens. Simulation results verified the effectiveness of this method.

Weak signal detection method based on Duffing oscillator

Kybernetes ◽  
2009 ◽  
Vol 38 (10) ◽  
pp. 1662-1668 ◽  
Author(s):  
Junguo Wang ◽  
Jianzhong Zhou ◽  
Bing Peng
Keyword(s):  
Signal Detection ◽  
Detection Method ◽  
Duffing Oscillator ◽  
Weak Signal ◽  
Weak Signal Detection

scholarly journals Blind angle elimination method in weak signal detection with Duffing oscillator and construction of detection statistics

2015 ◽  
Vol 64 (6) ◽  
pp. 060503
Author(s):  
Niu De-Zhi ◽  
Chen Chang-Xing ◽  
Ban Fei ◽  
Xu Hao-Xiang ◽  
Li Yong-Bin ◽  
...  
Keyword(s):  
Signal Detection ◽  
Duffing Oscillator ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Elimination Method

A Method for Weak Multi-Frequency Signal Feature Extraction Based on Chaotic Duffing Oscillator

2014 ◽  
Vol 568-570 ◽  
pp. 155-161
Author(s):  
Heng Zhi Lu ◽  
Zhi Hui Lai ◽  
Tai Hu Wu
Keyword(s):  
Signal Detection ◽  
Initial Phase ◽  
Detection Method ◽  
Duffing Oscillator ◽  
Frequency Characteristics ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Frequency Signal ◽  
Preprocessing Method ◽  
Novel Method

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.

Weak photoacoustic signal detection based on the differential duffing oscillator

2018 ◽  
Vol 32 (09) ◽  
pp. 1850103 ◽  
Author(s):  
Chenjing Li ◽  
Xuemei Xu ◽  
Yipeng Ding ◽  
Linzi Yin ◽  
Beibei Dou
Keyword(s):  
Signal Detection ◽  
Photoacoustic Spectroscopy ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Duffing Oscillator ◽  
Threshold Value ◽  
Photoacoustic Signal ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
First Time

In view of photoacoustic spectroscopy theory, the relationship between weak photoacoustic signal and gas concentration is described. The studies, on the principle of Duffing oscillator for identifying state transition as well as determining the threshold value, have proven the feasibility of applying the Duffing oscillator in weak signal detection. An improved differential Duffing oscillator is proposed to identify weak signals with any frequency and ameliorate the signal-to-noise ratio. The analytical methods and numerical experiments of the novel model are introduced in detail to confirm its superiority. Then the signal detection system of weak photoacoustic based on differential Duffing oscillator is constructed, it is the first time that the weak signal detection method with differential Duffing oscillator is applied triumphantly in photoacoustic spectroscopy gas monitoring technology.

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