Extended Kalman Filter Model for GPS and Indoor Positioning System Long Kam-Kim Department of Telecommunications Engineering, Faculty of Electrical and Electronics Engineering HCM City University of Technology, Ho Chi Minh City, Vietnam Tuan Do-Hong Department of Telecommunications Engineering, Faculty of Electrical and Electronics Engineering HCM City University of Technology, Ho Chi Minh City, Vietnam Abstract – Object positioning is an old subject. It’s being used more and more in many areas, especially in military, traffic, social security and civil services.The most popular positioning system in the world is Global Positioning System (GPS). However, GPS has limited degree of accuracy for low priority users. This paper proposes a solution for solving these limitations by using Extended Kalman Filter (EKF). Moreover, GPS is almost invalid in indoor environments. The paper also introduces an indoor positioning system model based on GPS ideology and EKF algorithm.
