A KALMAN FILTER MODEL FOR AN INTEGRATED LAND VEHICLE NAVIGATION SYSTEM

Unlike in the case of airborne and offshore applications, GPS cannot b e used continuously for land vehicle navigation due to the loss of sat ellite signals by obstructions from buildings, trees, etc. With the in creasing trend in various sectors of the economy towards efficient fle et management, the challenges of providing a system capable of providi ng high-accuracy vehicle position and location anywhere, continuously, has led to renewed interest in the area of integrated navigation syst ems. In order to satisfy these conditions, an integrated system compri sing GPS and gyro/odometer dead reckoning has been developed. This pap er gives a description of the implemented system and shows some of the practical results that can be obtained using Kalman filtering algorit hms.