Abstract
This paper discusses a landing angle estimation algorithm in UAV (Unmanned Aerial Vehicle) autolanding simulation. In UAV autolanding with radar system, the ground multipath effect and the time varying landing angle make it difficult to estimate landing angle information of UAV. This paper proposed a new algorithm based on forward-backward Kalman filter with time varying forgetting factor. This algorithm effectively handles the multipath effect and time varying landing angle environments to estimate highly accurate landing angle.
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© 2005 Springer-Verlag Berlin Heidelberg
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Choi, S., Lim, Js., Yoon, S. (2005). Forward-Backward Time Varying Forgetting Factor Kalman Filter Based Landing Angle Estimation Algorithm for UAV (Unmanned Aerial Vehicle) Autolanding Modelling. In: Baik, DK. (eds) Systems Modeling and Simulation: Theory and Applications. AsiaSim 2004. Lecture Notes in Computer Science(), vol 3398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30585-9_12
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DOI: https://doi.org/10.1007/978-3-540-30585-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24477-6
Online ISBN: 978-3-540-30585-9
eBook Packages: Computer ScienceComputer Science (R0)