Image Filtering of Colored Noise Based on Kalman Filter

This paper presents a core approach to design and develop a real-time based Vehicle Tracking System using Kalman filter. It is used to determine the current location of a target device in terms of UTC time , Data status, latitude, longitude, UTC date, Speed over ground in knots, Magnetic variation ,Mode indicators and Checksum information by utilizing the sms features of GSM technology. An attempt is made to improve the accuracy in locating GPS receiver by filtering out the irregularities using Kalman filter. A linear recursive filtering technique, Kalman filter is used for estimating noise co-variance at current state (Q) and measurement error (R) from sensor noise measurement. The result of this proposed adaptive Kalman filter technique gives better accuracy with more consistency and provides better performance level as compared to the standard one. KeywordsGSM, GPS, noise co-variance, Kalman filter, measurement error.