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Distributed hydro-acoustic shape sensing based on adaptive constrained inversion method.

Feifei Song, Jinyi Wu, Zhaoyong Wang

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    This summary is machine-generated.

    This study introduces a novel distributed hydro-acoustic shape sensing (DHS) method using distributed acoustic sensing (DAS) and an adaptive constrained inversion method (ACIM). The DHS method accurately reconstructs marine optical cable shapes using limited acoustic sources, enhancing underwater operations.

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    Area of Science:

    • Marine engineering
    • Optical sensing technologies
    • Acoustic signal processing

    Background:

    • Accurate 3D shape sensing of marine optical cables is crucial for reliable underwater localization and data acquisition.
    • Time-varying cable dynamics pose significant challenges to existing localization methods.

    Purpose of the Study:

    • To develop a novel distributed hydro-acoustic shape sensing (DHS) method for marine optical cables.
    • To improve the accuracy and flexibility of underwater shape sensing in complex marine environments.

    Main Methods:

    • Utilized distributed acoustic sensing (DAS) to detect acoustic fields and signal time-delay distributions.
    • Developed an adaptive constrained inversion method (ACIM) to resolve time-difference equations and reconstruct cable shape.
    • Employed acoustic sensitive optical cables (ASOC) for sea trials.

    Main Results:

    • Successfully demonstrated 3D distributed shape sensing of a 93m ASOC.
    • Achieved a root-mean-square error of 2.41m and a maximum error below 4.30m.
    • Validated the method's effectiveness with only a few asynchronous acoustic sources.

    Conclusions:

    • The proposed DHS method offers a practical and flexible solution for marine optical cable shape sensing.
    • This technique enhances the applicability of DAS in challenging marine settings.
    • Provides a viable approach for both new ASOC and existing DAS-based cables.