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Modeling of underwater vehicle positioning accuracy assessment based on ultrashort baseline

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Publicat a:Journal of Physics: Conference Series vol. 2996, no. 1 (Apr 2025), p. 012016
Autor principal: Liu, Zizhuo
Altres autors: Luo, Chengming, Fan, Hongxuan, Dou, Zicheng, Xu, Han
Publicat:
IOP Publishing
Matèries:
Lower bounds
Accuracy
Taylor series
Cramer-Rao bounds
Underwater vehicles
Underwater acoustics
Accés en línia:Citation/Abstract
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Resum:Considering the effects of complexity and uncertainty in underwater environments, solving the lower bound of the underwater vehicle positioning error variance is crucial for assessing positioning accuracy. To address the problem of nonlinear measurement equations for underwater acoustic sensors with ultrashort baseline measurements of underwater vehicles, this paper designs a method for recursively deriving an improved posterior Cramer-Rao lower bound for underwater vehicles using Taylor expansion linearization and then conducts simulation experiments. The results show that the improved posterior Cramer-Rao lower bound has good results and can be used as an evaluation standard for the positional results of underwater vehicle filter estimates.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2996/1/012016
Font:Advanced Technologies & Aerospace Database