The performance analysis of the train position detection algorithm based on GNSS and DR

초록

As the recent advances in wireless communication technologies and Information Technologies, train control technologies are highly improved and train control equipments are enable to be put on trains. The train position’s detection is the basic function for train control and so it has to be possibly done on vehicles to enhance operational efficiency. There are several position determination equipments which make train position detection possible without depending on local equipments: GNSS(Global Navigation Satellite System), INS(Inertial Navigation System), DR(Dead Reckoning), etc. In this paper, we compare GPS which is a kind of GNSS, and DR navigation. We also make algorism of train position detection which integrates GPS and DR navigation to make up for the defect of each navigation system by using 5-order kalman filter as an integration filter. The position estimation performance of the proposed algorism is confirmed by simulations