Autonomous acoustic-aided optical localization for data transfer

Johanna R Hansen, D. Fourie, J. Kinsey, C. Pontbriand, J. Ware, N. Farr, C. Kaiser, M. Tivey
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引用次数: 9

Abstract

The emergence of high speed optical communication systems has introduced a method for transferring data relatively quickly underwater. This technology coupled with autonomous underwater vehicles (AUVs) has the potential to enable efficient wireless data transfers underwater. Data muling, a data transport mechanism in which AUVs visit remote sensor nodes to transfer data, enables remote data to be recovered cheaply from underwater sensors. This paper details efforts to develop a system to reduce operational complexities of autonomous data-muling. We report a set of algorithms, systems, and experimental results of a technique to localize a sub-sea sensor node equipped with acoustic and optical communication devices with an AUV. Our homing system was designed to utilize the long-range, lowpower acoustic signal to determine the sensor location from great distances. When within optical communication range, it exploits the optical power pattern to center the vehicle over the sensor node for optimum data transfer. These implementations were tested over three dives at varying levels of automation. Data collected from the real-time system has been tested in full-automation mode within our simulation environment.
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用于数据传输的自主声学辅助光学定位
高速光通信系统的出现为在水下相对快速地传输数据提供了一种方法。这项技术与自动潜航器(AUV)相结合,有望实现高效的水下无线数据传输。数据移动(Data muling)是一种数据传输机制,在这种机制中,自动潜航器会访问远程传感器节点以传输数据,从而能够以较低的成本从水下传感器中恢复远程数据。本文详细介绍了为降低自主数据拖曳的操作复杂性而开发系统所做的努力。我们报告了一套算法、系统和实验结果,该技术可将装有声学和光学通信设备的海底传感器节点与自动潜航器定位在一起。我们设计的寻的系统利用远距离、低功率声学信号来确定远距离传感器的位置。在光通信范围内,它利用光功率模式将潜水器对准传感器节点,以实现最佳数据传输。在不同自动化程度的三次潜水中对这些实施方案进行了测试。从实时系统收集的数据已在我们的模拟环境中以全自动模式进行了测试。
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