Differential Global Positioning System Based on FIS with Extended Kalman Filter for Real Time Applications

Abstract

The global position system is subject to many types of errors such that the final readings are not in acceptable limits to eliminate the errors of GPS. Differential global position system having one static and another moving. So for target tracking solution, non-dynamical models are required. The main objective is an accurate target tracking solution suitable for navigation for naval ships and spacecraft. Extended Kalman Filter and fuzzy logic systems have been combined to make the GPS measurements more accurate. The impureness and uncertainties of measurements are taken care by selecting suitable membership functions along with appropriate if-then rules. Methods can be accurately utilized in tracking targets that are required in airspace as well as in naval encounters. In this proposed hybrid fuzzy extended common Kalman filter method the efficient outputs can be observed.