Fractional-order complementary filters for small unmanned aerial system navigation

Abstract

Orientation estimation is very important for development of unmanned aerial systems (UASs), and is performed by combining data from several sources and sensors. Kalman filters are widely used for this task, however they typically assume linearity and Gaussian noise statistics. While these assumptions work well for high-quality, high-cost sensors, it does… (More)
DOI: 10.1007/s10846-013-9915-6

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