• Journal of Institute of Control, Robotics and Systems
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• v.12 no.8
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• pp.773-779
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• 2006

GPS/INS integration is widely considered as main navigation systems of vehicles since GPS(Global Positioning System) and INS(Inertial Navigation System) have their own strength and weakness, respectively. Accuracy, continuity, integrity, and availability should be provided in navigation systems of vehicles. Ultra-tightly integration can improve these capacities, expecially availability of GPS. Unmanned Expedition Vehicles(UEV) must be robust against Jamming and external impact because UEV have to substitute for a man when they are in the place where they can not be controlled by a man. This paper analyzes the performance of Ultra-tightly integration and compares it with those of loosely integration and tightly integration for some trajectories

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.8
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• pp.785-791
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• 2008

Ultra-tightly coupled GPS/INS integration has been reported to show better navigation performance than that of other integration methods such as loosely coupled and tightly coupled integration. This paper uses the particle filter for ultra-tightly coupled GPS/INS integration and analyzes the navigation performance according to vehicle trajectory and the number of particles. The navigation performance of particle filter is compared with those of EKF and UKF.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.817-823
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• 2007

GPS and INS can be integrated in 3 ways of loose, tight, and ultra-tight configuration. This paper investigates the performance of GPS/INS ultra-tightly integrated system when unscented Kalman filter(UKF) is adopted as well as extended Kalman filter(EKF). Covariance analysis is performed using UFK and EKF for tightly coupled and ultra-tightly coupled systems. Various trajectories such as straight, circle, S-shape, spiral are considered for the simulations of covariance analysis.