An improvement over Kalman filter for GPS tracking

The present paper provides the conceptual framework on proposed filter called Extended Kalman filter which uses the concept of Kalman filter that provide more real information than the existing Kalman filter. The existing Kalman filter is not much secure to provide information of the theft vehicle. The proposed filter makes some improvement in the existing Kalman filter. To filters the position of the vehicle, install an electronic device in the vehicle tracking system and all modern vehicle tracking system use a technology called GPS(global position system). By this installation owner and the third party track the location of vehicle and collected the process data. Original Kalman filter work in two equations called predicate update and the corrector update. The Extended Kalman filter is implementing by GUI tool in Matlab. It filters position of vehicle in time, velocity, position in real time. The performance comparison between the existing Le. Kalman filter work inform of recursion and proposed filter i.e. filter the vehicle position in real time, shows that proposed filter is much better than the existing Kalman filter in terms of altitude, longitude and latitude.