Aerospace Science and Technology

Journal Information
ISSN / EISSN : 1270-9638 / 1626-3219
Published by: Elsevier BV (10.1016)
Total articles ≅ 5,471
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Published: 26 November 2021
Aerospace Science and Technology; https://doi.org/10.1016/j.ast.2021.107237

Abstract:
This article proposes an inertial navigation algorithm intended to lower the negative consequences of the absence of GNSS (Global Navigation Satellite System) signals on the navigation of autonomous fixed wing low SWaP (Size, Weight, and Power) UAVs (Unmanned Air Vehicles). In addition to accelerometers and gyroscopes, the filter takes advantage of sensors usually present onboard these platforms, such as magnetometers, Pitot tube, and air vanes, and aims to reduce the attitude error and position drift (both horizontal and vertical) with the dual objective of improving the aircraft GNSS-Denied inertial navigation capabilities as well as facilitating the fusion of the inertial filter with visual odometry algorithms. Stochastic high fidelity Monte Carlo simulations of two representative scenarios involving the loss of GNSS signals are employed to evaluate the results, compare the proposed filter with more traditional implementations, and analyze the sensitivity of the results to the quality of the onboard sensors. The author releases the implementation of both the navigation filter and the high fidelity simulation as open-source software [1].
Yuhao Jia, , , Biao Wei, Like Xie, Weizhuo Hua, Zhe Li
Published: 23 November 2021
Aerospace Science and Technology; https://doi.org/10.1016/j.ast.2021.107233

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, R. Martinez-Botas, M. Yang
Published: 23 November 2021
Aerospace Science and Technology, Volume 120; https://doi.org/10.1016/j.ast.2021.107231

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Xuewei Liu, Xiaowen Ma, Chenlei Yu,
Published: 22 November 2021
Aerospace Science and Technology; https://doi.org/10.1016/j.ast.2021.107229

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Ruoyu Wang, Baojie Liu, , Guangfeng An
Published: 18 November 2021
Aerospace Science and Technology, Volume 119; https://doi.org/10.1016/j.ast.2021.107225

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Yihua Cao, , Dan Song
Published: 16 November 2021
Aerospace Science and Technology, Volume 119; https://doi.org/10.1016/j.ast.2021.107223

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, Xiao Shao, Longjun Wang, Yu Zhou
Published: 15 November 2021
Aerospace Science and Technology, Volume 119; https://doi.org/10.1016/j.ast.2021.107221

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