A preliminary study on UAS vertical NSE analysis in urban-like environments
UAS navigational error is one of the concerns leading to non-conformance of assigned flight volume. This is especially noticeable in urban environment where global navigation satellite system (GNSS) positioning capability are affected by influencing factors such as signal blockage and multipath erro...
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sg-ntu-dr.10356-1605672022-09-08T05:05:01Z A preliminary study on UAS vertical NSE analysis in urban-like environments Deng, Chao Wang, John Chung-Hung Low, Kin Huat School of Mechanical and Aerospace Engineering 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS) Air Traffic Management Research Institute Engineering::Aeronautical engineering::Air navigation Engineering::Aeronautical engineering Unmanned Aerial Systems Drone Navigation Urban Environment Vertical Direction NSE UAS navigational error is one of the concerns leading to non-conformance of assigned flight volume. This is especially noticeable in urban environment where global navigation satellite system (GNSS) positioning capability are affected by influencing factors such as signal blockage and multipath errors caused by surrounding objects like buildings, trees, and other obstructions [1]. This paper presents a study on how the vertical navigation performance is affected by the cause of change in the sky openness ratio (i.e., GNSS signal blockage) above the drone when a self-built UAS is operating near several types of urban obstructions in flight tests. Test sites are carefully selected to ensure they are representative to urban environments, which includes 1) open space carpark with a few short trees, 2) running parallel to row of buildings, 3) surrounded by buildings (narrow urban canyon), and 4) constraint area with a building and some tall trees. The data will be analysed to obtain the vertical position error with considerations for (i) Number of visible satellites versus flight altitude, (ii) Sensor-reported vertical co-variance (EPV), (iii) Vertical position errors at various locations by comparing the reported position (GNSS) to a reference value, and (iv) Factors contributing to vertical positional errors at various locations, (v) The influence of sky openness to the vertical position error. The measurement of sky-openness ratio is to determine whether 3D city model of the flight area is sufficient to predict the vertical navigation performance that could be expected. Civil Aviation Authority of Singapore (CAAS) National Research Foundation (NRF) This research is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore, under the Aviation Transformation Programme. 2022-09-08T05:05:01Z 2022-09-08T05:05:01Z 2022 Conference Paper Deng, C., Wang, J. C. & Low, K. H. (2022). A preliminary study on UAS vertical NSE analysis in urban-like environments. 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS), 1-9. https://dx.doi.org/10.1109/ICNS54818.2022.9771539 https://hdl.handle.net/10356/160567 10.1109/ICNS54818.2022.9771539 1 9 en © 2022 IEEE. All rights reserved. |
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Engineering::Aeronautical engineering::Air navigation Engineering::Aeronautical engineering Unmanned Aerial Systems Drone Navigation Urban Environment Vertical Direction NSE |
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Engineering::Aeronautical engineering::Air navigation Engineering::Aeronautical engineering Unmanned Aerial Systems Drone Navigation Urban Environment Vertical Direction NSE Deng, Chao Wang, John Chung-Hung Low, Kin Huat A preliminary study on UAS vertical NSE analysis in urban-like environments |
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UAS navigational error is one of the concerns leading to non-conformance of assigned flight volume. This is especially noticeable in urban environment where global navigation satellite system (GNSS) positioning capability are affected by influencing factors such as signal blockage and multipath errors caused by surrounding objects like buildings, trees, and other obstructions [1]. This paper presents a study on how the vertical navigation performance is affected by the cause of change in the sky openness ratio (i.e., GNSS signal blockage) above the drone when a self-built UAS is operating near several types of urban obstructions in flight tests. Test sites are carefully selected to ensure they are representative to urban environments, which includes 1) open space carpark with a few short trees, 2) running parallel to row of buildings, 3) surrounded by buildings (narrow urban canyon), and 4) constraint area with a building and some tall trees. The data will be analysed to obtain the vertical position error with considerations for (i) Number of visible satellites versus flight altitude, (ii) Sensor-reported vertical co-variance (EPV), (iii) Vertical position errors at various locations by comparing the reported position (GNSS) to a reference value, and (iv) Factors contributing to vertical positional errors at various locations, (v) The influence of sky openness to the vertical position error. The measurement of sky-openness ratio is to determine whether 3D city model of the flight area is sufficient to predict the vertical navigation performance that could be expected. |
author2 |
School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Deng, Chao Wang, John Chung-Hung Low, Kin Huat |
format |
Conference or Workshop Item |
author |
Deng, Chao Wang, John Chung-Hung Low, Kin Huat |
author_sort |
Deng, Chao |
title |
A preliminary study on UAS vertical NSE analysis in urban-like environments |
title_short |
A preliminary study on UAS vertical NSE analysis in urban-like environments |
title_full |
A preliminary study on UAS vertical NSE analysis in urban-like environments |
title_fullStr |
A preliminary study on UAS vertical NSE analysis in urban-like environments |
title_full_unstemmed |
A preliminary study on UAS vertical NSE analysis in urban-like environments |
title_sort |
preliminary study on uas vertical nse analysis in urban-like environments |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/160567 |
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1744365383580647424 |