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The performance of matched-field track-before-detect methods using shallow-water Pacific data
Stacy L Tantum1, Loren W Nolte, Jeffrey L Krolik
1Department of Electrical Engineering, Duke University, Durham, North Carolina 27708-0291, USA. slt@ee.duke.edu
The Journal of the Acoustical Society of America
|July 27, 2002
Summary
This study introduces advanced track-before-detect algorithms for tracking moving sources by incorporating source dynamics and ocean uncertainties. These methods significantly improve target tracking, outperforming conventional approaches without assuming uniform motion.
Area of Science:
- Underwater acoustics
- Signal processing
- Oceanography
Background:
- Matched-field processing is a key technique for source localization.
- Maintaining tracks of moving sources presents significant challenges in complex ocean environments.
- Existing methods often rely on simplifying assumptions, such as uniform source motion.
Purpose of the Study:
- To develop and present optimal Bayesian and minimum variance beamforming track-before-detect algorithms.
- To incorporate a priori knowledge of source dynamics and ocean uncertainties into tracking algorithms.
- To examine the relationship between optimal Bayesian and minimum variance approaches for enhanced tracking.
Main Methods:
- Utilized a Markov model to capture stochastic source motion dynamics.
- Developed optimal Bayesian and minimum variance beamforming track-before-detect algorithms.
- Applied algorithms to shallow-water Pacific data from the SWellEX-1 experiment.
Main Results:
- Demonstrated marked improvement in maintaining target tracks compared to conventional methods.
- Showcased the benefits of incorporating Markovian source dynamics.
- Validated the effectiveness of the proposed algorithms in real-world ocean conditions.
Conclusions:
- The developed track-before-detect algorithms effectively maintain target tracks in dynamic ocean environments.
- Incorporating stochastic source dynamics significantly enhances tracking performance.
- The optimal tracking philosophy can guide the modification of beamforming techniques for track-before-detect capabilities.