Opportunistic localization using LEO signals

Accurate positioning, navigation, and timing (PNT) is taking a centre stage due to enhanced requirements in safety critical systems, emergence of autonomous systems as well as the use of sensor networks in disaster management. While Global Navigation Satellite System (GNSS) has been a prime source for enabling PNT, the aforementioned use cases would need a complementary solution in case GNSS signals are unavailable, unreliable or unusable. This work, builds on the existing literature, and considers the use of signals from low Earth orbit (LEO) satellites due to the higher spatial and temporal resolution offered by the evolving and emerging megaconstellations. It builds on the existing LEO PNT works and considers the feasibility of LEO PNT from a system perspective and parameter estimation aspects. It then presents the tracking algorithm fusing information from multiple satellites while incorporating errors in their locations into the state model. Performance evaluation for representative scenario is undertaken.