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• W90831116 abstract "This thesis describes the investigation of an Aircraft Dynamic Navigation (ADN) approach, which incorporates an Aircraft Dynamic Model (ADM) directly into the navigation filter of a fixed-wing aircraft or UAV. The result is a novel approach that offers both performance improvements and increased reliability during short-term GPS outages. This is important in allowing future UAVs to achieve routine, unconstrained, and safe operations in commercial environments. The primary contribution of this research is the formulation Unscented Kalman Filter (UKF) which incorporates a complex, non-linear, laterally and longitudinally coupled, ADM, and sensor suite consisting of a Global Positioning System (GPS) receiver, Inertial Measurement Unit (IMU), Electronic Compass (EC), and Air Data (AD) Pitot Static System." @default.
• W90831116 created "2016-06-24" @default.
• W90831116 creator A5070318911 @default.
• W90831116 date "2014-01-01" @default.
• W90831116 modified "2023-09-28" @default.
• W90831116 title "Aircraft dynamic navigation for unmanned aerial vehicles" @default.
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• W90831116 hasPublicationYear "2014" @default.
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