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Matched Field Processing Based on Least Squares with a Small Aperture Hydrophone Array.

Qi Wang1, Yingmin Wang2, Guolei Zhu3

  • 1School of Marine Science and Technology, Northwestern Polytechinal University, Xi'an 710072, China. qwang208@nwpu.edu.cn.

Sensors (Basel, Switzerland)
|January 3, 2017
PubMed
Summary

A new method improves underwater acoustic localization using small hydrophone arrays. This technique enhances signal processing by recalculating acoustic fields, leading to more accurate source detection in shallow waters.

Keywords:
acoustic fieldsleast squaresmatched field processingpassive localizationsmall aperture

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Area of Science:

  • Ocean Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Receiver hydrophone arrays are crucial for matched field processing (MFP) in underwater acoustics.
  • Large-aperture arrays covering the entire water column are challenging to deploy.
  • Existing MFP methods face limitations with smaller array apertures.

Purpose of the Study:

  • To propose an effective method for matched field processing using small-aperture hydrophone arrays.
  • To enhance the performance of passive localization in shallow water environments.
  • To overcome the difficulties associated with deploying large-aperture arrays.

Main Methods:

  • Decomposition of received acoustic fields into depth function matrix and normal mode amplitudes.
  • Estimation of mode amplitudes using least squares with minimum norm.
  • Recalculation of received acoustic fields using estimated mode amplitudes for enhanced environmental information.

Main Results:

  • Recalculated acoustic fields contain richer information about the acoustic source.
  • Improved performance in matched field passive localization using small-aperture arrays.
  • Validation of the proposed algorithm's effectiveness through numerical experiments in shallow water.

Conclusions:

  • The proposed least-squares-based MFP method effectively utilizes small-aperture hydrophone arrays.
  • The technique enhances the accuracy of underwater passive localization.
  • This approach offers a practical solution for scenarios where large arrays are infeasible.