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NavIC is a newly established Indian regional Navigation Constellation with 3satellites in geostationary Earth orbit (GEO) and 4 satellites ingeosynchronous orbit (GSO). Satellite positions are essential in navigation forvarious positioning applications. In this paper, we propose a BootstrapParticle Filter (BPF) approach to determine the satellite positions in NavICconstellation for short duration of 1 hr. The Bootstrap Particle filter-basedapproach was found to be efficient with meter level prediction accuracy ascompared to other methods such as Least Squares (LS), Extended Kalman Filter(EKF), Unscented Kalman Filter (UKF) and Ensemble Kalman Filter (EnKF). Theresidual analysis revealed that the BPF approach addressed the problem ofnon-linearity in the dynamics model as well as non-Gaussian nature of the stateof the NavIC satellites.

Comparative Evaluation of Statistical Orbit Determination Algorithms for  Short-Term Prediction of Geostationary and Geosynchronous Satellite Orbits in  NavIC Constellation