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Multiple constraint matched field processing tolerant to array tilt mismatch.

Gihoon Byun1, F Hunter Akins1, Kay L Gemba1

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A new multiple constraint method (MCM) improves matched field processing (MFP) by tolerating array tilt. This robust method accurately localizes and tracks surface ships in shallow water using experimental data.

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Area of Science:

  • Acoustic signal processing
  • Ocean acoustics
  • Array signal processing

Background:

  • Matched field processing (MFP) is sensitive to array tilt and environmental variations.
  • Accurate source localization and tracking in shallow water remain challenging.

Purpose of the Study:

  • Develop a robust matched field processing method to overcome array tilt uncertainty.
  • Enhance the tolerance of MFP to both array tilt and environmental mismatch.

Main Methods:

  • A novel multiple constraint method (MCM) was developed to handle array tilt.
  • The MCM was integrated with the white noise gain constraint method.
  • The combined processor was tested using experimental data from a surface ship in shallow water.

Main Results:

  • The proposed MFP demonstrated robustness to array tilt and environmental mismatch.
  • Successful localization and tracking of a surface ship radiating broadband noise (200-500 Hz) were achieved.
  • The method was validated using a 56-m vertical array in 100-m deep shallow water.

Conclusions:

  • The developed MCM-based MFP offers a robust solution for acoustic source localization in the presence of array tilt.
  • This approach enhances the reliability of underwater acoustic surveillance and tracking systems.
  • The findings are significant for shallow water acoustic applications.