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Nonlinear Optimization Method for PGC Demodulation of Interferometric Fiber-Optic Hydrophone

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Green, Pervasive, and Cloud Computing (GPC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13744))

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Abstract

The fiber-optic hydrophone is an advanced detection method for modern naval anti-submarine warfare and underwater weapon testing, mainly used to detect marine acoustic environments. The phase generated carrier (PGC) demodulation technology is widely applied in interferometric fiber-optic hydrophones because of its wide dynamic range, high sensitivity, and high phase measurement accuracy. An ellipse fitting optimization method based on least squares is proposed in this paper to solve the nonlinear error in the PGC demodulation process to improve the system demodulation accuracy. The experimental results show that compared with the previous demodulation, after using the least-squares ellipse fitting optimization, the relative amplitude and harmonic suppression ratio of the same frequency are greatly improved, and the demodulation accuracy is effectively enhanced.

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References

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Authors and Affiliations

  1. Dalian Naval Academy, Dalian, 116018, China

    Jiajing Wang, Zhu Kou & Xiangtao Zhao

Authors
  1. Jiajing Wang
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  2. Zhu Kou
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  3. Xiangtao Zhao
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Corresponding author

Correspondence to Jiajing Wang .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Chen Yu

  2. University of Oulu, Oulu, Finland

    Jiehan Zhou

  3. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  4. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Wang, J., Kou, Z., Zhao, X. (2023). Nonlinear Optimization Method for PGC Demodulation of Interferometric Fiber-Optic Hydrophone. In: Yu, C., Zhou, J., Song, X., Lu, Z. (eds) Green, Pervasive, and Cloud Computing. GPC 2022. Lecture Notes in Computer Science, vol 13744. Springer, Cham. https://doi.org/10.1007/978-3-031-26118-3_12

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  • DOI: https://doi.org/10.1007/978-3-031-26118-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26117-6

  • Online ISBN: 978-3-031-26118-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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