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Extension of 2FSK Signal Detection Utilizing Duffing Oscillator

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Machine Learning and Intelligent Communications (MLICOM 2017)

Abstract

Based on the sensitivity of the chaotic system to the initial value and the characteristics of the noise immunity, this paper presents a method to detect the FSK signal of closed carrier frequency under the low signal-to-noise ratio based on the Duffing oscillator, and then give the principle of FSK signal and its modulation. Furthermore, a method to solve the problem that frequency overlapping occurred between two closed frequencies FSK signal is proposed. Based on the theoretical analysis, the simulation model is established by using MATLAB and Simulink. The simulation results show that the model can solve the frequency overlapping of the FSK signal effectively; meanwhile, it has good detection precision and anti-noise performance.

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References

  1. Zhang, S., Rui, G.-S.: Chaotic detector for BPSK signals in very low SNR conditions. Int. J. Bifurc. Chaos 22(6), 223–225 (2012)

    Article  MATH  Google Scholar 

  2. Poor, H.V.: An Introduction to Signal Detection and Estimation. Springer Science & Business Media, Heidelberg (2013)

    MATH  Google Scholar 

  3. Huang, C., Zhou, Y.: Cyclic correlation detection method applied to weak LFM signals in multiplicative noise. In: 2004 7th International Conference on Signal Processing: Proceedings ICSP 2004, vol. 1, pp. 5–8 (2004)

    Google Scholar 

  4. Nan, L.I., Fu, L.I.U.: Three nonlinear methods of weak signal detection. Electr. Power Autom. Equip. 4, 021 (2008)

    Google Scholar 

  5. Lai, Z., Leng, Y., Sun, J.: Weak characteristic signal detection based on scale transformation of duffing oscillator. Acta Phys. Sin. 61(5), 050503-1–050503-9 (2012)

    Google Scholar 

  6. Wang, G., He, S.: A quantitative study on detection and estimation of weak signal using chaotic duffing oscillators. IEEE Trans. Circuits Syst. 50(7), 945–953 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. Qin, H.L., Sun, X.L., Jin, T.: Weak GPS signal detect algorithm based on duffing chaos system. In: IEEE 10th International Conference on Signal Processing, Beijing, p. 2501 (2010)

    Google Scholar 

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Correspondence to Dawei Chen .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, D., Xu, E., Shi, S., Gu, X. (2018). Extension of 2FSK Signal Detection Utilizing Duffing Oscillator. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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