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Abstract
KALMAN FILTER FOR GPS DATUM CONVERSION
B.L.Mallesawri
Associate Professor,
ECE dept.,CBIT,
Email: blmalleswari@gmail.com
I.V. MuraliKrishna
Director,R&D
JNTU,Hyderabad.
Email: ivm@ieee.org
K.Lal Kishore
Registrar
JNTU,Hyderabad
Abstract:
This paper focuses on modeling of errors like ionospheric delays, atmospheric delays and dilution of precision etc., affecting the GPS signals as they travel from satellite to user on Earth. These errors degrade the accuracy of GPS position. An attempt is made to improve the accuracy in locating the GPS receiver by filtering the range measurements. This study emphasizes the coordinate conversion between Universal Transverse Mercator (UTM) and World Geodetic System (WGS - 84) using single frequency ML-250 hand held GPS receiver and smoothening of these coordinates using Kalman filter. A recursive filtering technique Kalman filter is used for greater accuracy in estimating the user’s position by considering the initial state of the system, statistics of system noise and measurement errors from sensor noise measurements. The results of proposed Kalman filter technique give better accuracy with more consistency and are found superior to the standard one.
Key words: GPS, Datum conversion, Kalman filter, recursive algorithm error covariance, and measurement noise.
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