Quality of Service Based Radar Resource Management for Navigation and Positioning
Tobias Müller, Sebastian Durst, Pascal Marquardt, Stefan Brüggenwirth, Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik FHR
Date/Time: Thursday, Apr. 27, 3:20 p.m.
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.
Index Terms—Q-RAM, Quality of Service, Radar, Navigation, Resource Management, Positioning, Cognitive Radar, GNSS