Abstract
The standalone Global Positioning System (GPS) does not meet the higher accuracy requirements needed for approach and landing phase of an aircraft. To meet the Category-I Precision Approach (CAT-I PA) requirements of civil aviation, satellite based augmentation system (SBAS) has been planned by various countries including USA, Europe, Japan and India. The Indian SBAS is named as GPS Aided Geo Augmented Navigation (GAGAN). The GAGAN network consists of several dual frequency GPS receivers located at various airports around the Indian subcontinent. The ionospheric delay, which is a function of the total electron content (TEC), is one of the main sources of error affecting GPS/SBAS accuracy. A dual frequency GPS receiver can be used to estimate the TEC. However, line-of-sight TEC derived from dual frequency GPS data is corrupted by the instrumental biases of the GPS receiver and satellites. The estimation of receiver instrumental bias is particularly important for obtaining accurate estimates of ionospheric delay. In this paper, two prominent techniques based on Kalman filter and Self-Calibration Of pseudo Range Error (SCORE) algorithm are used for estimation of instrumental biases. The estimated instrumental bias and TEC results for the GPS Aided Geo Augmented Navigation (GAGAN) station at Hyderabad (78.47°E, 17.45°N), India are presented.
Highlights
The Global Positioning System (GPS) is a satellite-based navigation system capable of providing three dimen-How to cite this paper: Sunehra, D. (2016) total electron content (TEC) and Instrumental Bias Estimation of Geo Augmented Navigation (GAGAN) Station Using Kalman Filter and Self-Calibration Of pseudo Range Error (SCORE) Algorithm
The data is provided by the Space Applications Centre (SAC), Indian Space Research Organisation, Ahmedabad, India
Two prominent techniques based on Kalman filter and SCORE algorithms are used for estimation of TEC and instrumental biases
Summary
The Global Positioning System (GPS) is a satellite-based navigation system capable of providing three dimen-How to cite this paper: Sunehra, D. (2016) TEC and Instrumental Bias Estimation of GAGAN Station Using Kalman Filter and SCORE Algorithm. D. Sunehra sional position, velocity and timing information to users anywhere on or above the surface of the earth. GPS has been in use for a wide variety of applications. These include during flight in oceanic routes, enroute over the domestic airspace, and in crowded metropolitan airspaces. To use GPS for precision approach (PA) and landings of civil aviation, the navigation system has to meet the Required Navigation Performance (RNP) parameters. These include accuracy, integrity, availability and continuity of service. Standalone GPS does not meet these precision approach requirements. The horizontal and vertical accuracy required for Category-I PA is 16 m and 4 m (95%) respectively [1]
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