Speaker
Description
Global Navigation Satellite System (GNSS)-based navigation is widely used in transportation, but it is increasingly vulnerable to jamming and spoofing. As an alternative, the Magnetic Navigation (MagNav) uses magnetometers and magnetic anomaly maps to help correct drift in inertial navigation systems.
This presentation shares results from a simulation chain developed by TNO to assess MagNav performance under varying conditions, including the influence of space weather. In addition, we present selected results from the field trials, which focus on MagNav performance in offline simulation scenarios using the collected datasets. A key focus of the study is the influence of space weather on magnetic navigation. We examine how geomagnetic disturbances introduce magnetic noise that can degrade navigation accuracy, and we evaluate the algorithm’s ability to filter out such noise. These insights are especially relevant as we look for ways to make navigation systems more resilient.
