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Sensitivity Analysis for TDoA-based Localisation in Underwater Sensor Networks

机译:水下传感器网络中TDOA定位的敏感性分析

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摘要

Localisation is a crucial part of underwater monitoring missions. European H2020 project “subCULTron” developed a hybrid underwater sensor network with static underwater sensors capable of relocating during mission execution. The relocation and deployment is done with the aid of autonomous surface vehicles also acting as reference anchors used for underwater localisation. The motivation of this paper is determining the precision of localisation in the area of deployment. In this paper, a method of modelling localisation precision for a projection-based TDoA localisation algorithm was developed. Different spatial configurations of reference anchors can greatly impact the quality of localisation. This paper focuses on determining the quality of localisation for a given spatial configuration. Sensitivity analysis to the error in timing measurements was conducted. Simulation results are compared with results of sensitivity analysis. Finally, sensitivity analysis was tested using experimental results gathered in field trials.Index Terms— localisation, localisation precision, Underwater Acoustic Sensor Network, UASN, Time Difference of Arrival, TDoA, marine robotics, multi-robot systems.
机译:本地化是水下监测任务的关键部分。欧洲H2020项目“Subcultron”开发了一种混合水下传感器网络,其静态水下传感器能够在任务执行期间重新选择。借助自动表面车辆的扶手和部署也充当用于水下局部化的参考锚。本文的动机正在确定部署领域本地化的精度。在本文中,开发了一种建模基于投影的TDOA定位算法的定位精度的方法。不同的参考锚空间配置可以大量影响本地化的质量。本文侧重于确定给定空间配置的定位质量。对定时测量中的误差进行敏感性分析。将仿真结果与敏感性分析结果进行了比较。最后,使用在现场试验中聚集的实验结果进行敏感性分析.Index条款定位,定位精度,水下声学传感器网络,UASN,抵达时间差,TDOA,海洋机器人,多机器人系统。

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