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Localization of a remote source in a noisy deep ocean sound channel using phase-only matched autoproduct processing.
David J Geroski1, Jay R Johnson2, David R Dowling2
1Applied Physics Program, University of Michigan, Ann Arbor, Michigan 48109, USA.
The Journal of the Acoustical Society of America
|April 24, 2023
Summary
Phase-only matched autoproduct processing (POMAP) effectively localizes underwater sound sources even with environmental noise. This study confirms POMAP
Area of Science:
- Ocean acoustics
- Signal processing
- Passive sonar
Background:
- Long-range passive source localization in the deep ocean is challenging.
- Matched field processing (MFP) algorithms are sensitive to environmental mismatch.
- Phase-only matched autoproduct processing (POMAP) offers improved robustness.
Purpose of the Study:
- To analyze the localization performance of POMAP in the presence of environmental noise.
- To assess POMAP's noise rejection capabilities.
- To evaluate the impact of noise rejection algorithms on POMAP performance.
Main Methods:
- Utilized simulated and measured signal data from the PhilSea10 ocean acoustic propagation experiment.
- Employed noise data based on environmental measurements and synthetic noise samples.
- Analyzed signals from a single moored source (129.4 km range) using a vertical line array.
- Processed linear frequency modulated chirps (200-300 Hz bandwidth).
Main Results:
- POMAP demonstrates effective source localization performance despite environmental noise.
- Noise rejection algorithms provided only a marginal 1 dB improvement in localization performance.
- The study validates POMAP's resilience to noise in deep ocean acoustics.
Conclusions:
- POMAP is a viable algorithm for long-range passive source localization in noisy deep ocean environments.
- Environmental noise has a limited impact on POMAP's localization accuracy.
- Further research may explore advanced noise mitigation strategies to enhance POMAP further.
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