Variable-Scale Duffing Oscillator Method for Weak Signal Detection

被引：0
|
作者：
Xing H.-Y. [1 ,2 ]
Wu H. [1 ,2 ]
Liu G. [1 ,2 ]
机构：
[1] Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu
[2] Jiangsu Key Laboratory of Meteorological Detection and Information Processing, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2020年 / 48卷 / 04期
关键词：
Bifurcation diagram; Chaos; Complementary ensemble empirical mode decomposition; Weak signal detection;
D O I：
10.3969/j.issn.0372-2112.2020.04.015
中图分类号：
学科分类号：
摘要：
Aiming at the weak signal detection problem under strong noise background, the weak signal detection principle based on Duffing oscillator is analyzed.Combining the complementary ensemble empirical mode decomposition(CEEMD)method with the variable-scale Duffing oscillator, a new weak signal detection method is proposed.The complex noisy signal is decomposed into different intrinsic mode functions(IMF) by using CEEMD.Through the Duffing system bifurcation diagram and its changes, the critical threshold of the phase trajectory change is found, and the information detection of the noisy signal is realized.The results show that the joint detection method can not only immune noise well, but also effectively detect multi-frequency periodic signals with signal-to-noise ratio as low as -73dB. © 2020, Chinese Institute of Electronics. All right reserved.
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页码：734 / 742
页数：8
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