Positioning Accuracy Improvement by Combining GPS and GLONASS Navigation Systems based on Kalman Filter in Satellite Blocking Situations

Today, many navigation systems come into contest with Global Positioning System (GPS). Some of these systems are GLONASS, Galileo and Beidou.The best way for incresing the number of satellites in user view is to combine these systems. Likewise, since it is possible for GPS or GLONASS satellites to be blocked by intentional or unintentional interventions, combining becomes more efficacious way against this kind of happening. In this paper, in addition to discussing about GPS and GLONASS combination effects on positioning accuracy improvement, we will propose a method against GPS satellites blocking using GLONASS integration. Though high accuracy of proposed method, it has real-time positioning ability and low implementation complexity. It also has abitity to deal with intentional blocking. As Kalman filter is one of the cheapest and applicable tool that can be be implemented on chip precessors. The real data used for implementation in this paper is collected by a GPS and GLONASS receiver and simulation results has been successfully shown accurcy improvement in proposed method.