Increasing the accuracy of differential global positioning system by means of use the Kalman filtering technique

Differential GPS (DGPS) is the system used for improving accuracy in GPS position and velocity estimation. Measurements can be obtained in real time with a high level of accuracy. We present a modified Kalman filter for DGPS to enhance the estimation of the position and velocity. The realized algorithm in DGPS system can be implemented by low cost commercial C/A code GPS modules. Kalman filter used reduces the anti-common errors between the users and reference station. It has been investigated two variants of the filters. The experimental testing of the performance of DGPS with Kalman filtering has been realized and discussed in the paper. The investigated procedures of Kalman filtering could be used for better positioning in the applications.