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2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

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Multichannel array diagnosis using noise cross-correlation.

Laura A Brooks, Peter Gerstoft, David P Knobles

    The Journal of the Acoustical Society of America
    |December 10, 2008
    PubMed
    Summary
    This summary is machine-generated.

    Noise cross-correlation effectively diagnoses multichannel ocean hydrophone arrays. This method tracked signal changes on a New Jersey Shelf array during Tropical Storm Ernesto, revealing data channel shifts.

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    Area of Science:

    • Oceanography
    • Acoustics
    • Array Signal Processing

    Background:

    • Ocean hydrophone arrays are crucial for marine acoustic monitoring.
    • Understanding array performance changes due to environmental factors is essential for data integrity.
    • Previous methods for diagnosing array faults were limited in dynamic environments.

    Purpose of the Study:

    • To derive and demonstrate a practical application of noise cross-correlation for diagnosing multichannel ocean hydrophone arrays.
    • To analyze the impact of a major environmental event (Tropical Storm Ernesto) on hydrophone array performance.
    • To track dynamic changes in hydrophone data channels.

    Main Methods:

    • Deployment of a horizontal line array on the New Jersey Shelf.
    • Recording acoustic data before, during, and after Tropical Storm Ernesto.
    • Utilizing noise cross-correlation techniques on recorded data.
    • Comparing active source measurements before and after the storm.

    Main Results:

    • Active source measurements indicated shifts in hydrophone signal recordings across different channels post-storm.
    • Noise cross-correlation analysis precisely identified the timing and nature of these channel changes during the storm.
    • The study successfully applied noise cross-correlation to diagnose real-time array modifications.

    Conclusions:

    • Noise cross-correlation is a viable and effective tool for diagnosing multichannel ocean hydrophone arrays in dynamic conditions.
    • Environmental events like hurricanes can cause significant, trackable changes in hydrophone array data channels.
    • This technique enhances the reliability of acoustic data acquired from oceanographic surveys.