Application of Kalman Filter in GPS Position Estimation

Over the past few years Kalman filter has gained attraction and significant position among the researchers, as this filtering technique can be applied to variety of applications. One of its applications that is presented in this paper is GPS based position estimation. Kalman filter is utilized for better position estimates over those provided by direct GPS measurements. GPS used for position estimates are prone to errors due to various sources. These errors accumulate and provide erroneous results. One of the ways to get accurate position estimate is to include more sensors like inertial measurement unit or some other devices, but all this would not be cost effective. Thus, by integrating Kalman filter as post processing filter, the error can be reduced.