2026-06-25T00:16:08Z 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