An automated framework for long-range acoustic positioning of autonomous underwater vehicles Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1121/10.0013830
An automated method was developed to align underwater acoustic receptions at various depths and ranges to a single reference prediction of long range acoustic arrival structure as it evolves with range in order to determine source-receiver range. Acoustic receptions collected by four autonomous underwater vehicles deployed in the Philippine Sea as part of an ocean acoustic propagation experiment were used to demonstrate the method. The arrivals were measured in the upper 1000 m of the ocean at ranges up to 700 km from five moored, low frequency broadband acoustic tomography sources. Acoustic arrival time structure for pulse compressed signals at long ranges is relatively stable, yet real ocean variability presents challenges in acoustic arrival matching. The automated method takes advantage of simple projections of the measured structure onto the model space that represents all possible pairings of measured peaks to predicted eigenrays and minimizes the average travel-time offset across selected pairings. Compared to ranging results obtained by manual acoustic arrival matching, 93% of the automatically-obtained range estimates were within 75 m of the manually-obtained range estimates. Least squares residuals from positioning estimates using the automatically-obtained ranges with a fault detection scheme were 55 m root-mean-square.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1121/10.0013830
- OA Status
- green
- Cited By
- 7
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295338770
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4295338770Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1121/10.0013830Digital Object Identifier
- Title
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An automated framework for long-range acoustic positioning of autonomous underwater vehiclesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-09-01Full publication date if available
- Authors
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Cristian E. Graupe, Lora J. Van Uffelen, Peter F. Worcester, Matthew A. Dzieciuch, Bruce M. HoweList of authors in order
- Landing page
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https://doi.org/10.1121/10.0013830Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://digitalcommons.uri.edu/gsofacpubs/2555Direct OA link when available
- Concepts
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Underwater, Range (aeronautics), Acoustics, Broadband, Ranging, Geology, Computer science, Offset (computer science), Arrival time, Geodesy, Physics, Telecommunications, Engineering, Oceanography, Programming language, Transport engineering, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 5, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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21Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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