Implementing Kalman Filter in GPS Navigation
Kanika Gupta1, Apurva2, Priya Jindal3, Vishakha Snehi4

1Prof. Kanika Gupta, Department of IT, ABES Engineering College, Ghaziabad (U.P), India.
2Ms. Apurva, Department of IT, ABES Engineering College, Ghaziabad (U.P), India.
3Ms. Priya Jindal, Department of IT, ABES Engineering College, Ghaziabad (U.P), India.
4Ms. Vishakha Snehi, Department of IT, ABES Engineering College, Ghaziabad (U.P), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 21-25 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0487032413/13©BEIESP
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Abstract: This paper describes about the increase in efficiency of the GPS Navigation System when conventional tracking loops are replaced by the Kalman Filter. The Kalman Filter is a recursive algorithm that helps in reducing the square root of the error in the non-linear and noisy dynamic systems. The approach is also called Digital Filtering, more precisely – Adaptive Filtering. The paper highlights various errors in the GPS Systems and describes how Kalman Filter can effectively reduce them. The various kinds of errors are ionospheric error, tropospheric error, onboard clock error, that is, error in the satellite’s clock, receiver clock error, ephemeris data errors, that is, small error in the position of the satellite. We aim at reducing such errors by using the Extended Kalman Filter. The Kalman Gain coefficient is the most important component of the entire algorithm. It will we multiplied with the error residuals iteratively, which will reduce the error value in the final readings eventually. Also, by replacing conventional looping, which provides accurate readings after 3rd or 4th iteration, with the Kalman Filter will provide the accurate readings before so many iterations which will reduce the delay. As a result, the new GPS Navigation system will provide much accurate and faster readings to the user.
Keywords: Ephemeris Errors, GPS Navigation, Kalman Filter, Tracking Loops.

Scope of the Article: GPS and Location-Based Applications