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Regularized matched-mode processing for source localization
1School of Earth and Ocean Sciences, University of Victoria, British Columbia, Canada.
The Journal of the Acoustical Society of America
|June 30, 2000
Summary
This study introduces regularized matched-mode processing (RMMP) for improved ocean acoustic source localization. RMMP enhances modal decomposition stability and physical meaningfulness, outperforming standard methods in challenging conditions.
Area of Science:
- Ocean acoustics
- Signal processing
- Geophysics
Background:
- Matched-mode processing (MMP) is used for ocean acoustic source localization.
- Standard MMP can be unstable and ill-posed with underdetermined sensor arrays.
- Minimum-norm solutions in standard MMP may lack physical meaning.
Purpose of the Study:
- Develop a new approach, regularized matched-mode processing (RMMP), for ocean acoustic source localization.
- Improve the stability and physical meaningfulness of modal decomposition in MMP.
- Compare RMMP with standard MMP and matched-field processing.
Main Methods:
- RMMP performs independent modal decomposition using replica data as a priori estimates for regularized inversion.
- The approach is tested using realistic synthetic data.
- Evaluations include varying noise levels, array configurations, and environmental mismatch.
Main Results:
- RMMP provides more physically meaningful decompositions near the source location.
- The method ensures stable inversion across different grid points.
- RMMP demonstrates improved performance compared to standard MMP and matched-field processing.
Conclusions:
- Regularized matched-mode processing offers a more robust and physically meaningful solution for ocean acoustic source localization.
- RMMP effectively addresses the instability issues associated with standard MMP in underdetermined scenarios.
- This advancement has implications for underwater acoustic sensing and source tracking.