Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147357
Title: UAV trajectory estimation and deviation analysis for contingency management in urban environments
Authors: Pang, Bizhao
Ng, Ee Meng
Low, Kin Huat
Keywords: Engineering::Mathematics and analysis
Issue Date: 2020
Source: Pang, B., Ng, E. M. & Low, K. H. (2020). UAV trajectory estimation and deviation analysis for contingency management in urban environments. AIAA AVIATION 2020 FORUM, 1 PartF, 1-10. https://dx.doi.org/10.2514/6.2020-2919
Abstract: Contingency management of Unmanned Aircraft System (UAS) is an essential part of UAS Traffic Management (UTM). One of such contingencies is the loss of positional information due to weak or loss of Global Positioning System (GPS) signals, which will compromise the safety of the overall UTM system. This paper investigates the UAV trajectory estimation problem when GPS signal is weak or unavailable in urban environments. This research serves two purposes: Firstly, the study employed Extended Kalman Filter (EKF) to estimate the UAV true trajectory when GPS signal is intermittent or unavailable; Secondly, this work analyzed the deviations between pre-defined trajectory and estimated ones in different signal scenarios. The simulation results show that: (1) for uniform distribution of GPS signal, the estimated trajectory will deviate linearly with the decrease of signal density up until a density of 0.1hz and increase exponentially after that; and (2) for non-uniform distribution, the Gaussian distribution performed the worst, followed by random distribution and Sine distribution.
URI: https://hdl.handle.net/10356/147357
ISBN: 9781624105982
DOI: 10.2514/6.2020-2919
Rights: © 2020 Nanyang Technological University. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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