Impact of operational uncertainty on acoustic time difference of arrival multilateration performance

This work addresses the influence of operational uncertainty on acoustic time difference of arrival (TDOA) multilateration systems, commonly used in source localization applications. A key challenge during the planning phase of multilateration applications is predicting system performance and resilience to uncertainty, particularly in topographically complex operational environments. A deterministic numerical approach using matrix factorization methods, including rank-revealing QR decomposition, is presented to evaluate system performance and assess sensor positions under specific conditions. Through path-based wave propagation simulations and experiments, we conduct sensitivity analyses to investigate the impact of timing inaccuracies, terrain features, and meteorological conditions on TDOA-based acoustic multilateration. The results are validated by experiments and calculations on the localization of shooters using sparsely distributed ground sensors at the military Lehnin training area, Germany. [Work supported by BAAINBw/WTD-91.]

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037372
Primary Topic
Underwater Acoustics Research
Type
article
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article

Impact of operational uncertainty on acoustic time difference of arrival multilateration performance

Matthias Ospel
The Journal of the Acoustical Society of America
Underwater Acoustics Research
article

Impact of operational uncertainty on acoustic time difference of arrival multilateration performance

Matthias Ospel
article en

Abstract

This work addresses the influence of operational uncertainty on acoustic time difference of arrival (TDOA) multilateration systems, commonly used in source localization applications. A key challenge during the planning phase of multilateration applications is predicting system performance and resilience to uncertainty, particularly in topographically complex operational environments. A deterministic numerical approach using matrix factorization methods, including rank-revealing QR decomposition, is presented to evaluate system performance and assess sensor positions under specific conditions. Through path-based wave propagation simulations and experiments, we conduct sensitivity analyses to investigate the impact of timing inaccuracies, terrain features, and meteorological conditions on TDOA-based acoustic multilateration. The results are validated by experiments and calculations on the localization of shooters using sparsely distributed ground sensors at the military Lehnin training area, Germany. [Work supported by BAAINBw/WTD-91.]

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
Institut Franco-Allemand de Recherches de Saint-Louis (FR)
Sustainable cities and communities
Openalex Percentile: Top 80%
Underwater Acoustics Research
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