Magnetic anomaly signal detection using adaptive stochastic resonance system

2021 ◽  
Author(s):  
Zhongyan Liu ◽  
Yujing Xu ◽  
Wang Liu ◽  
Qi Zhang ◽  
Jiafei Hu ◽  
...  
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Magnetic Anomaly ◽  
Resonance System

scholarly journals Magnetic Anomaly Signal Detection Using Parallel Monostable Stochastic Resonance System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 162230-162237
Author(s):  
Wang Liu ◽  
Zhongyan Liu ◽  
Qi Zhang ◽  
Yujing Xu ◽  
Shuchang Liu ◽  
...  
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Magnetic Anomaly ◽  
Resonance System

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

A Novel Adaptive Stochastic Resonance Method Based on Tristable System and its Applications

2020 ◽  
pp. 2150004
Author(s):  
Gang Zhang ◽  
Chuan Jiang ◽  
Tian Qi Zhang
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Piecewise Linear ◽  
Correlation Coefficients ◽  
Resonance Method ◽  
Resonance System ◽  
Signal Energy ◽  
Noise Energy ◽  
Novel Model ◽  
Output Snr

Stochastic resonance systems have the advantages of converting noise energy into signal energy, and have great potential in the field of signal detection and extraction. Aiming at the problems of the performance of classical stochastic resonance system whose model is not perfect enough and the correlation coefficients between parameters is too large to be optimized by algorithm, then a novel model of the tristable potential stochastic resonance system is proposed. The output SNR formula of the model is derived and analyzed, and the influence of its parameters on the model is clarified. Compared with the piecewise linear model by numerical simulation, the correctness of the formula and the superiority of the model are verified. Finally, the model and the classical tristable model are applied to bearing fault detection in which the genetic algorithm is used to optimize the parameters of the two systems. The results show that the model has better detection effects, which prove that the model has a strong potential in the field of signal detection.

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

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.

scholarly journals Weak magnetic anomaly signal detection based on the entropy of mixed differential signal

AIP Advances ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 015013
Author(s):  
Z. Wang ◽  
J. Qiu ◽  
D. Xie ◽  
J. Ou ◽  
Q. Xu
Keyword(s):  
Signal Detection ◽  
Magnetic Anomaly ◽  
Differential Signal

Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors

2007 ◽  
Vol 55 (7) ◽  
pp. 3172-3184 ◽  
Author(s):  
Hao Chen ◽  
Pramod K. Varshney ◽  
Steven M. Kay ◽  
James H. Michels
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Resonance Effect
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