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Supporting Maritime Search and Rescue Missions Through UAS-Based Wireless Localization

机译:通过基于UA的无线本地化支持海上搜索和救援任务

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The use of unmanned aircraft systems to support maritime search and rescue missions holds great potential. Applications range from the fast and efficient search of vessels and persons in distress to the provision of rescue and communication resources. In this paper, we address a received signal strength based localization method of persons without dedicated search and rescue equipment. The specific challenge addressed in this work is to analyze the proposed localization method under realistic conditions. Thus, a maritime channel model is implemented and by means of field tests experimentally validated. Furthermore, the proposed approach is evaluated in a two step concept: In the first step the capability of different search patterns and localization algorithms is analyzed and evaluated in a hardware in the loop simulation environment. In the second step, a scaled experimental setup, which uses a technology comparable to cellular communications, is evaluated to prove the viability of the overall system. Besides the overall accuracy, the required localization time is a key performance indicator. The resulting outcome of the simulations using active trajectory generation underlines the potential of the discussed approach by achieving localization errors of lower than 200 m in under 10 mins. The experimental results obtained in the outdoor field test of under 30 m absolute euclidean error confirm the simulative results and verify that the proposed concept can significantly improve search and rescue operations.
机译:使用无人机系统支持海上搜索和救援任务的潜力巨大。应用范围从船只和陷入困境中的快速和有效搜索提供救援和通信资源。在本文中,我们解决了没有专用搜索和救援设备的人的基于人的本地化方法。本作工作中解决的具体挑战是在现实条件下分析所提出的本地化方法。因此,通过实验验证的现场测试实现了海上信道模型。此外,在两个步骤概念中评估所提出的方法:在第一步中,在环路仿真环境中的硬件中分析和评估不同搜索模式和定位算法的能力。在第二步中,评估使用与蜂窝通信相当的技术的缩放实验设置以证明整个系统的可行性。除了整体准确性之外,所需的本地化时间是关键性能指标。通过在10分钟内实现低于200米的定位误差,使用有源轨迹代的结果强调了所讨论的方法的潜力。在30米以下的户外场测试中获得的实验结果,确认了模拟结果并验证所提出的概念可以显着改善搜救操作。

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