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首页> 外文期刊>IEEE Journal of Oceanic Engineering >Tracking the Slipper Lobster Using Acoustic Tagging: Testbed Description
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Tracking the Slipper Lobster Using Acoustic Tagging: Testbed Description

机译:使用声学标记跟踪拖鞋龙虾:测试用描述

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摘要

The technique of underwater acoustic localization (UAL) is widely used to track submerged targets. In the present study, we consider UAL in the specific application of locating the Mediterranean slipper lobster, Scyllarides latus (S. latus), for the aim of continuous and long-term investigation of its movement patterns. Since visual inspections only offer a snapshot to the life of these nocturnal crustaceans, we used underwater acoustic tags and deployed the first testbed to track a community of S. latus through UAL. The testbed included 19 acoustically tagged S. latus, as well as a sensor network of four receivers that record the time-of-arrival of detected tag's emissions. The testbed operated for six months, and the data collected were analyzed offline. In this paper, we describe the design details of our testbed. We discuss the considerations in choosing both the type of acoustic tags and the structure of the testbed. We also present our algorithm to time synchronize the receivers, and the localization procedure. Our preliminary results show that, for this long-term deployment, the widely used model of clock offset for the receivers is too simplified, and that time synchronization must consider also the clock's skew. We also show that the tagged lobsters are mostly detected by fewer than three receivers, thereby making localization using traditional trilateration methods highly challenging. Finally, preliminary results for the localization of the tagged lobsters in the deployment area are presented.
机译:水下声学定位技术(UAL)被广泛用于跟踪浸没的目标。在本研究中,我们考虑了在定位地中海拖鞋龙虾,Scyllarides Latus(S. Latus)的具体应用中,以实现对其运动模式的连续和长期调查的目的。由于目视检查仅为这些夜间甲壳类动物的使用寿命提供快照,因此我们使用了水下的声学标签并通过UAL部署了第一个测试平台以跟踪S. Latus的社区。测试用用包括19个声学标记的S. Latus,以及四个接收器的传感器网络,记录了检测到的标签排放时间的到达时间。经过六个月的试验台,收集的数据离线分析。在本文中,我们描述了我们测试的设计细节。我们讨论了选择声学标签类型和测试用结构的考虑因素。我们还介绍了我们的算法时间同步接收器和本地化过程。我们的初步结果表明,对于这种长期部署,对于接收器的广泛使用的时钟偏移模型太简化,而时间同步也必须考虑时钟的倾斜。我们还表明,标记的龙虾主要检测到少于三个接收器,从而利用传统三边方法进行了大量挑战的定位。最后,提出了部署区域中标记龙虾本地化的初步结果。

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