Error Correction Techniques for Ionospheric Gradients in Ground-based Augmentation System

The performance of Ground-Based Augmentation System (GBAS) is selected for the aircraft landing phase which relies on the accurate characterization of error models.It helps optimize the stochastic model of the Global Navigation Satellite System (GNSS) and shortens the positioning convergence time.The existing techniques contain numerous position errors that affect the ionospheric gradients' performance.To overcome this issue, this paper proposed an error correction technique named Grid Ionospheric Vertical Error (GIVE) with adaptive clipping technique in GBAS.Initially, the input signal is passed to the transmitter in which the GIVE is utilized to reduce the ionospheric error.Then the transmitted signals are given to a channel that contains some noise.The signals are passed to the receiver and the adaptive clipping technique is utilized to reduce the receiver error then the output signal is produced.The error rate is automatically reduced when increasing the signal-to-noise ratio (SNR).The performance of GIVE with adaptive clipping is estimated through detection time and standard deviation with ionospheric gradient change rate of 0.01m/s and 0.02m/s through the elevation of 10-70 and minimum gradient change rate.The proposed GIVE with adaptive clipping achieved better detection rate (s) of 20s and 26s for the elevation of 20 with the change rate of 0.01m/s and 0.02m/s.The proposed model achieves better results when compared to existing methods like One-Class Support Vector Machine (OCSVM).