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Frequency Detection of Weak Signal in Narrowband Noise Based on Duffing Oscillator

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Communications and Networking (ChinaCom 2016)

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Abstract

Duffing oscillator is used to detect weak signal in strong noise because traditional linear methods cannot work correctly in this situation. Normal Duffing oscillator is used under broadband noise because it is immune to broadband noise. But it is not suitable in narrowband noise because zero expectation of noise is damaged in narrowband noise. In this paper, the difference influence to Duffing oscillator between broadband noise and narrowband noise is analyzed and the resistance of Duffing oscillator to narrowband noise is proved. Then a new frequency detection method based on higher initial driving force amplitude and duration of cycle state is developed. Finally, the appropriate initial amplitude needed in this method is confirmed and the method is verified that it can detect frequency in narrowband noise by simulation.

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Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, Harbin, China

    Shuo Shi, Qianyao Ren, Dezhi Li & Xuemai Gu

Authors
  1. Shuo Shi
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  2. Qianyao Ren
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  3. Dezhi Li
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  4. Xuemai Gu
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Corresponding author

Correspondence to Qianyao Ren .

Editor information

Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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

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Shi, S., Ren, Q., Li, D., Gu, X. (2018). Frequency Detection of Weak Signal in Narrowband Noise Based on Duffing Oscillator. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-66625-9_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66624-2

  • Online ISBN: 978-3-319-66625-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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