协作式自主水下航行器定位

Marcelo Borges Nogueira, J. Sousa, F. Pereira
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引用次数: 10

摘要

由于水下环境的通信限制,水下机器人的协同定位是一项艰巨的任务。本文介绍了该领域的研究现状,分析了相关问题的现有解决方案,并提出了两种基于EKF的算法来解决一组配备低成本导航系统的自主水下航行器在未知环境中的定位问题。没有全球定位系统的帮助,导航误差将变得无限。然而,我们的协同导航方案可以大大提高导航性能,仿真结果表明。我们还表明,与现有的解决方案相比,这些方法给出了更好的结果,并对系统进行了非线性可观测性分析,以表明在全球定位系统的帮助下误差的有界性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Autonomous Underwater Vehicle localization
Due to some communication constraints of the underwater environment, cooperative localization for AUVs is a hard task. In this paper, we present the state of the art in this area, analyse the existing solutions to related problems and propose 2 algorithms, based on the EKF, to solve the localization problem with a group of Autonomous Underwater Vehicles equipped with low cost navigation systems in an unknown environment. Without the aid of a global positioning system, the navigation error will grow unbounded. However, navigation performance can be greatly improved with our cooperative navigation scheme, as shown in simulations. We also show that the methods give better results when compared to an existing solution and perform a nonlinear observability analysis of the system to show the boundedness of the error with the aid of a global positioning system.
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