Application of Weak Signal Detection Based on Improved Duffing Chaotic System

被引:15
|
作者
Yan, Shaohui [1 ,2 ]
Sun, Xi [1 ]
Wang, Ertong [1 ]
Song, Jincai [1 ]
Cui, Yu [1 ]
机构
[1] Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou 730070, Peoples R China
[2] Northwest Normal Univ, Engn Res Ctr Gansu Prov Intelligent Informat Tech, Lanzhou 730070, Peoples R China
关键词
Improved Duffing system; Weak signal detection; Critical threshold; 0-1; test; Chaotic system; OSCILLATOR; AMPLITUDE; ATTRACTOR;
D O I
10.1007/s42417-022-00730-6
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose There are precious fruits that have certified the superiority of Duffing chaotic system in weak signal detection. Whether the critical threshold can be accurately determined is the key in weak signal detection. Methods However, the application of the 0-1 test to discriminate the critical threshold for chaotic systems has not been reported. In this work, we implement an improved Duffing chaotic system for periodic weak signal detection and investigate dynamical characteristics. The advantage of the improved Duffing system for wide area detection is demonstrated by analyzing the corresponding Lyapunov exponent spectrum and bifurcation diagram. Results Again, the critical threshold is established by the 0 - 1 test and the threshold accuracy is enhanced. Then, the improved Duffing chaotic circuit is designed, and the feasibility of detecting the weak signal is verified. Conclusion The system has superior detection accuracy and stronger detection performance, which is proved by using Matlab-Simulink simulation. Thus, the improved Duffing chaotic system demonstrates its high value for practical engineering applications.
引用
收藏
页码:3057 / 3068
页数:12
相关论文
共 50 条
  • [31] Chaotic Circuit and Its Application in Weak Signal Detection
    Xu, Xuemei
    Wang, Xiao
    Wen, Jun
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2022, 32 (15):
  • [32] Amplitude detection method for the weak ultrasonic guided wave based on Duffing system chaotic characteristics
    Yan X.
    Cheng M.
    Zhang W.
    Wu J.
    Ma H.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 41 (22): : 78 - 83
  • [33] Statistical characteristics of weak signal detection based on Duffing oscillator
    Zhejiang Univ, Hangzhou, China
    Tien Tzu Hsueh Pao, 10 (38-44):
  • [34] Weak photoacoustic signal detection based on the differential duffing oscillator
    Li, Chenjing
    Xu, Xuemei
    Ding, Yipeng
    Yin, Linzi
    Dou, Beibei
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2018, 32 (09):
  • [35] Weak Signal Detection Technology Based on Holmes Duffing Oscillator
    Zhao, Wenli
    Zhao, Jingxiao
    Huang, Zhenqiang
    Meng, Qinghua
    2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 : 1796 - 1802
  • [36] Reliability Analysis of Weak Signal Detection Based on Duffing Oscillator
    Chen, Xinguo
    Yang, Xiaofei
    Wang, Jieyun
    Han, Weiwei
    2011 INTERNATIONAL CONFERENCE OF ELECTRON DEVICES AND SOLID-STATE CIRCUITS (EDSSC), 2011,
  • [37] Detection Fusion of Weak Signal under Chaotic Noise Based on Distributed System
    Zhao, Shengli
    Zhang, Lizhi
    Su, Liyun
    JOURNAL OF SENSORS, 2021, 2021
  • [38] Unknown frequency weak signal detection based on Lorenz chaotic synchronization system
    Li, Guozheng
    Tan, Nanlin
    Su, Shuqiang
    Zhang, Chi
    Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (05): : 155 - 161
  • [39] A novel chaotic attractor and its weak signal detection application
    Gokyildirim, A.
    Uyaroglu, Y.
    Pehlivan, I.
    OPTIK, 2016, 127 (19): : 7889 - 7895
  • [40] The study of weak signal detection based on chaotic oscillator
    Xu, Yanchun
    Yang, Chunling
    Xu, Yanchun
    2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS, 2007, : 693 - +