Long Baseline Navic Relative Positioning with Simultaneous Estimation of Ionospheric and Tropospheric Delay and Gradients

Abstract

Ionosphere and troposphere delays greatly impact position accuracy in long baseline NavIC/GNSS relative positioning. In this paper, we describe algorithms for relative position computation using Real Time data that simultaneously estimate troposphere and ionosphere delays and their gradients, and are optimized for long baselines. We also reenter various dynamical models of the rover station for Kalman filter use. Relative positioning experiment results for different baselines (short, medium, and long) are presented with NavIC data from four different receiver stations in India.