GPS DATUM CONVERSION AND KALMAN FILTERING FOR REDUCING POSITIONAL ERRORS

Abstract

The main focus of this paper is on modeling and filtering the errors in Global Poisoning System (GPS). The errors reduce the accuracy of the receiver’s position. The errors can be due to both external sources and coordinate conversion from one datum format to the other. The most dominant of the external errors is the ionospheric error. The datum is collected through the day at different times from the dense traffic area of the Ameerpet region in Hyderabad. The spatial errors obtained from the received datum have been reduced by the application of a Kalman filter. The datum collected by the GPS receiver is in the World Geodetic System-84 (WGS-84) format which is converted to the Universal Transverse Mercator (UTM) format. The datum in the UTM format, applied to a Kalman filter are compared with datum obtained from Franson CoordTrans software. The results indicate that the Kalman filtered datum is a closer approximation to the actual positions than the unfiltered values.