Performance Analysis of GPS Aided Geo Augmented Navigation (GAGAN) Over Sri Lanka


  • Thilantha Dammalage Sabaragamuwa University
  • D. N. De Silva Survey Department of Sri Lanka
  • Chalermchon Satirapod Chulalongkorn University



Satellite-Based Augmentation Systems (SBAS) are being developed worldwide due to their unique advantage of wide area coverage. GPS Aided Geo Augmented Navigation (GAGAN) is an Indian implementation of SBAS, with three (03) geo stationary satellites in space covering a huge area even beyond Indian Territory. This study focused on analyzing the improvement in position solution with GAGAN corrections over Sri Lanka. In order to test its performances, several dual and single frequency GNSS receivers were used in this experiment, one receiver was configured as SBAS receiver and other two were kept as GPS stand-alone receivers. Observations were carried out over seven (07) known control stations of six (6) different districts to investigate its coverage over Sri Lanka. At each of the tested stations the GAGAN active L1 receiver has always shown a significant accuracy improvement over L1 uncorrected observations. Further, five out of the seven (7) observation locations the calculated average 3D positional errors were lower than 1 m. Almost 79% of observations (out of 24 hours of observations) have shown acceptable 3D positional accuracy, of less than 1m, for many spatial data collection applications. However, the local DGPS correction has shown higher reliability than GAGAN corrections with almost 85% of observations with less than 1 m, 3D positional error.


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Author Biographies

Thilantha Dammalage

Department of Remote Sensing and GIS, Faculty of Geomatics, Sabaragamuwa University, Sri Lanka

D. N. De Silva

Survey Department of Sri Lanka, Sri Lanka

Chalermchon Satirapod

Department of Survey Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand


Published In
Vol 21 No 5, Apr 11, 2017
How to Cite
T. Dammalage, D. N. De Silva, and C. Satirapod, “Performance Analysis of GPS Aided Geo Augmented Navigation (GAGAN) Over Sri Lanka”, Eng. J., vol. 21, no. 5, pp. 305-314, Apr. 2017.