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Detection of Direction-Of-Arrival in Time Domain Using Compressive Time Delay Estimation with Single and Multiple

Youngmin Choo1, Yongsung Park2, Woojae Seong3

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Summary
This summary is machine-generated.

Compressive sensing enhances time delay estimation (TDE) for improved direction-of-arrival (DOA) detection in noisy ocean environments. This method refines arrival estimates, leading to more accurate acoustic source localization.

Keywords:
SAVEX15compressive sensingdirection-of-arrivaltime delay estimation

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Area of Science:

  • Acoustics
  • Signal Processing
  • Oceanography

Background:

  • Traditional time delay estimation (TDE) combined with beamforming struggles with ocean noise, degrading direction-of-arrival (DOA) estimates.
  • Matched filters used in beamforming are susceptible to noise, causing ambiguities and reducing the accuracy of source localization.

Purpose of the Study:

  • To improve the accuracy of direction-of-arrival (DOA) estimation in underwater acoustics by mitigating noise.
  • To develop a robust method for time delay estimation (TDE) that enhances the performance of delay-and-sum beamforming.

Main Methods:

  • Applied compressive sensing (CS) in a two-step process: grid-free CS for candidate time delay calculation and conventional CS for dominant arrival selection.
  • Utilized an extended compressive TDE to exploit common arrivals across multiple measurements, further reducing noise.
  • Integrated refined arrival estimates from CS-enhanced TDE with delay-and-sum beamforming for improved DOA estimation.

Main Results:

  • Compressive sensing effectively suppresses noise, enabling accurate detection of arrivals and resolving ambiguities in beamforming results.
  • The proposed CS-based TDE significantly improves the accuracy and robustness of DOA estimation compared to conventional methods.
  • Demonstrated the validity of the enhanced scheme using real-world data from the shallow-water acoustic variability experiment 15 (SAVEX15).

Conclusions:

  • Compressive sensing offers a powerful approach to enhance time delay estimation and direction-of-arrival determination in challenging acoustic environments.
  • The integration of compressive sensing with beamforming provides a more accurate and reliable method for underwater acoustic source localization.
  • The developed technique shows significant promise for applications in underwater acoustics, particularly in noisy and variable conditions.