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Source motion mitigation for adaptive matched field processing.

Lisa M Zurk1, Nigel Lee, James Ward

  • 1MIT Lincoln Laboratory, 244 Wood Street, Lexington, Massachusetts 02420, USA. zurk@ll.mit.edu

The Journal of the Acoustical Society of America
|May 27, 2003
PubMed
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Detecting quiet targets in shallow water using adaptive matched field processing is challenging due to source motion. This study introduces three techniques to mitigate motion effects, significantly improving target detection capabilities.

Area of Science:

  • Underwater acoustics
  • Signal processing
  • Geophysics

Background:

  • Adaptive matched field processing (MFP) is crucial for detecting targets in shallow waters.
  • Source motion (target and interferers) complicates MFP by spreading target signals and increasing interference dimensionality.

Purpose of the Study:

  • To present and evaluate three novel techniques for mitigating source motion issues in adaptive MFP.
  • To enhance the detection of quiet targets in shallow-water environments.

Main Methods:

  • Rank reduction for adaptive weight computation over shorter intervals.
  • Explicit target motion compensation using velocity hypotheses.
  • Time-varying interference filtering for moving interferers.

Related Experiment Videos

Main Results:

  • All three techniques were applied to volumetric array data from the Santa Barbara Channel Experiment.
  • Output signal-to-background-plus-noise ratio improved by over 3 dB compared to standard methods.
  • The techniques were critical for target detection in several instances.

Conclusions:

  • The proposed techniques effectively mitigate source motion problems in adaptive MFP.
  • These advancements significantly improve the performance and reliability of target detection systems in challenging underwater conditions.