Taking into account constraints on magnitude and first derivative of the Global Navigation Satellite Systems differential corrections during their forecasting

Abstract

Algorithms for predicting differential corrections to GNSS measurements have been developed, the low labor intensity of which allows them to be applied in real time. The processing of corrections before the break is performed using the Kalman filter in reverse time. The interval of processed corrections gradually expands as the forecast duration increases. Based on the results of experiments with field GNSS data, a comparison of the algorithms efficiency was made.