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Robust long-range source localization in the deep ocean using phase-only matched autoproduct processing.

David J Geroski¹, David R Dowling²

¹Applied Physics Program, University of Michigan, Ann Arbor, Michigan 48109, USA.

The Journal of the Acoustical Society of America

|August 3, 2021

Summary

This summary is machine-generated.

A new phase-only matched autoproduct processing algorithm enhances passive source localization in the deep ocean. This method improves robustness and accuracy for underwater acoustic signal detection at long ranges.

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Area of Science:

Ocean acoustics
Array signal processing
Underwater acoustics

Background:

Passive source localization in the deep ocean is crucial for underwater surveillance and research.
Existing methods like matched field processing (MFP) have limitations in range and robustness.

Purpose of the Study:

To introduce and evaluate a novel phase-only matched autoproduct processing algorithm.
To assess the algorithm's performance against existing techniques using real-world ocean data.

Main Methods:

Developed a new MFP-style algorithm utilizing phase-only information from frequency-difference autoproducts.
Compared the new algorithm with three existing methods using data from the PhilSea10 experiment.
Evaluated performance across various source-array ranges (129-450 km) and signal frequencies (172.5-275 Hz).

Main Results:

The new phase-only algorithm demonstrates increased robustness at ranges up to 225 km.
It requires fewer signal samples for successful localization compared to other methods.
Frequency-differencing techniques successfully localized all six sources, with the new algorithm showing superior consistency at shorter ranges.

Conclusions:

The phase-only matched autoproduct processing offers a more robust and efficient approach for passive source localization in the deep ocean.
This advancement is particularly beneficial for long-range underwater acoustic monitoring.