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  1. University of Yangon
  2. Universities’Research Centre

Robust Navigation System for a Land Vehicle

http://hdl.handle.net/20.500.12678/0000002651
http://hdl.handle.net/20.500.12678/0000002651
bee46e20-6ab4-4f99-a155-140901a5bf24
b9779554-6f60-42ad-b0aa-52463135dcb3
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Robust Robust Navigation System for a Land Vehicle.pdf (807 Kb)
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Title
Title Robust Navigation System for a Land Vehicle
Language en
Publication date 2013
Authors
Ye Chan
Lwin Lwin Aung
Win Win Thar
Jang Gyu Lee
Pho Kaung
Description
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.
Keywords
Integrated navigation
Identifier https://uyr.uy.edu.mm/handle/123456789/716
Journal articles
Power Control and Optimization: Proceedings of the 7th Global Conference on Power Control and Optimization
Conference papaers
Books/reports/chapters
Thesis/dissertations
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