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Passive Source Localization Using Compressive Sensing.

Hangfang Zhao1,2, M Jehanzeb Irshad3,4, Huihong Shi5

  • 1College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China. hfzhao@zju.edu.cn.

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This summary is machine-generated.

This study introduces a new underwater passive source localization method using sparse reconstruction. The technique accurately pinpoints multiple sound sources, outperforming traditional methods in complex environments.

Keywords:
compressive sensinghigh resolutionmatched-field processingrobustnesssonarsource localizationsparse reconstruction

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Area of Science:

  • Acoustics
  • Signal Processing
  • Oceanography

Background:

  • Underwater passive source localization is crucial for marine applications.
  • Existing methods face challenges with accuracy and computational load.

Purpose of the Study:

  • To develop an efficient and accurate underwater passive source localization method.
  • To improve upon existing sparse reconstruction techniques for acoustic signals.

Main Methods:

  • Formulating an underdetermined linear inversion problem for source localization.
  • Employing sparse reconstruction algorithms to exploit spatial signal sparsity.
  • Utilizing a data correlation matrix with multiple snapshots to reduce dimensionality.
  • Incorporating Bartlett pre-location to decrease computational burden.

Main Results:

  • Achieved a high ratio of measurements to sparsity (RMS).
  • Demonstrated increased peak sharpness and reduced sidelobe levels.
  • Showcased comparable performance to Bartlett and white noise gain constraint methods in single-source scenarios.
  • Exhibited superior performance in localizing multiple sources.
  • Validated effectiveness with both simulated and experimental underwater data.

Conclusions:

  • The proposed method offers a robust and high-resolution approach for underwater passive source localization.
  • It effectively handles environmental/system mismatches, similar to established techniques.
  • The technique provides a valuable advancement for identifying underwater acoustic sources.