2024-03-29T08:38:29Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/2651
2021-12-13T02:13:09Z
1582963390870:1582967568165
user-uy
Robust Navigation System for a Land Vehicle
Ye Chan
Lwin Lwin Aung
Win Win Thar
Jang Gyu Lee
Pho Kaung
This paper presents the integration of Inertia Navigation System and Global Position System (GPS) using
Unscented Kalman Filter (UKF). The nonlinear system model is used because linearized system models introduce errors
in high dynamic environments. The navigation performance and robustness of the proposed algorithm are also compared
with that of the extended Kalman filter (EKF). To enhance the navigation performance, the non-holonomic constraint is
applied to the UKF and it is found that the robustness of system is better than before when the GPS signal outages.
2013
http://hdl.handle.net/20.500.12678/0000002651
https://meral.edu.mm/records/2651