Algorithms for Correction of the Navigation Information Using a Satellite Radio Navigation System under Anomalous Measurement Conditions

Abstract

Algorithms for correction of the aircraft navigation information by using a satellite navigation system and an inertial navigation system are studied. The satellite system signals contain abnormal measurements of various durations. Improvement of the accuracy of navigation determinations is performed by filtering noise, eliminating anomalous spikes from the data, and replacing them with predicted values. It has been proposed to use the theoretically predicted value of the updated sequence in the adaptive Kalman filter in the case of detection of an anomalous measurement. In the case of the appearance of a pack of anomalous measurements, they are replaced by the predicted values obtained by using the trend and the self-organization algorithm.