Study on Heterodyne Stochastic Resonance System for Weak Signal Detection

2011 ◽  
Vol 88-89 ◽  
pp. 341-345
Author(s):  
Jun Jun Yao ◽  
Yong Mei Huang ◽  
Li Qing Hu ◽  
Min Lin
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Frequency Measurement ◽  
Periodic Signal ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Resonance System ◽  
Resonance Theory ◽  
System Parameters ◽  
Simulation Results

The method based on stochastic resonance is a newly developed signal processing technology. Different from other methods by restraining the noise, it takes full advantage of the noises to strengthen the weak signal to improve SNR of the system. Based on stochastic resonance theory, a heterodyne system is presented in the paper to detect the frequency of the weak periodic signal. The simulation results manifest that the method is effective and the system parameters have extensive influence for frequency measurement. The parameters of the system are investigated for optimizing system design and weak signal detection.

NovelWoods–Saxon stochastic resonance system for weak signal detection

2020 ◽  
Vol 29 (4) ◽  
pp. 040503 ◽  
Author(s):  
Yong-Hui Zhou ◽  
Xue-Mei Xu ◽  
Lin-Zi Yin ◽  
Yi-Peng Ding ◽  
Jia-Feng Ding ◽  
...  
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Resonance System

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.

scholarly journals Weak Signal Detection Based on Adaptive Cascaded Bistable Stochastic Resonance System

Procedia CIRP ◽  
2015 ◽  
Vol 27 ◽  
pp. 292-297 ◽  
Author(s):  
Biyu Yang ◽  
Lele Wang ◽  
Ran Shenghui ◽  
Xiaoping Ye ◽  
Jiangxin Yang
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Resonance System

Weak Signal Detection Principle Based on Chaotic Duffing Oscillator and its Simulation Method

2010 ◽  
Vol 108-111 ◽  
pp. 834-837
Author(s):  
Ming Shan Cai
Keyword(s):  
Signal Detection ◽  
Virtual Instrument ◽  
Duffing Oscillator ◽  
Sampling Period ◽  
Periodic Signal ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Weak Signals ◽  
Simulation Results ◽  
Detection Principle

Based on Matlab as the software platform, chaos detection principle and methods used for weak signals detection are studied. The model used for simulation is established, then the simulation results of weak periodic signal detection in strong noise atmosphere are given and the steps for detecting weak signals with chaos method are listed. Furthermore, the influence of sampling period on system’s performance is studied. Simulation results show that the chao detection approach proposed in this paper can detect the signal even if it is small to 10-10v, and even when it is in the environment with strong noise, small signal with magnitude of only 5×10-9 v can be found. Chaos method has strong capability for weak signal detection which lay important foundation for exploiting virtual instrument.

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