Quality of Service Based Radar Resource Management for Navigation and Positioning

Tobias Müller, Sebastian Durst, Pascal Marquardt, S. Brüggenwirth
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Abstract

In hostile environments, GNSS is a potentially unreliable solution for self-localization and navigation. Many systems only use an IMU as a backup system, resulting in integration errors which can dramatically increase during mission execution. We suggest using a fighter radar to illuminate satellites with known trajectories to enhance the self-localization information. This technique is time-consuming and resource-demanding but necessary as other tasks depend on the self-localization accuracy. Therefore an adaption of classical resource management frameworks is required. We propose a quality of service based resource manager with capabilities to account for inter-task dependencies to optimize the self-localization update strategy. Our results show that this leads to adaptive navigation update strategies, mastering the trade-off between self-localization and the requirements of other tasks.
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基于服务质量的导航定位雷达资源管理
在敌对环境中,GNSS可能是一种不可靠的自我定位和导航解决方案。许多系统只使用IMU作为备份系统,这导致在任务执行过程中集成错误会急剧增加。我们建议使用战斗机雷达来照亮已知轨迹的卫星,以增强自定位信息。该技术耗时且资源消耗大,但由于其他任务依赖于自定位精度,因此是必要的。因此,需要对经典资源管理框架进行调整。我们提出了一个基于服务质量的资源管理器,该管理器具有考虑任务间依赖关系的功能,以优化自定位更新策略。我们的研究结果表明,这导致了自适应的导航更新策略,掌握了自我定位和其他任务要求之间的权衡。
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