Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks

Sabatini, R, Moore, T, Hill, C and Ramasamy, S 2015, 'Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks', in Proceedings of the IEEE International Conference on Unmanned Aircraft Systems (ICUAS 2015), Denver, Colorado, United States, 9-12 June 2015, pp. 650-659.


Document type: Conference Paper
Collection: Conference Papers

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Title Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
Author(s) Sabatini, R
Moore, T
Hill, C
Ramasamy, S
Year 2015
Conference name ICUAS 2015
Conference location Denver, Colorado, United States
Conference dates 9-12 June 2015
Proceedings title Proceedings of the IEEE International Conference on Unmanned Aircraft Systems (ICUAS 2015)
Publisher IEEE
Place of publication United States
Start page 650
End page 659
Total pages 10
Abstract The integration of Global Navigation Satellite System (GNSS) integrity augmentation functionalities in Unmanned Aerial Systems (UAS) has the potential to provide an integrity-augmented Sense-and-Avoid (SAA) solution suitable for cooperative and non-cooperative scenarios. In this paper, we evaluate the opportunities offered by this integration, proposing a novel approach that maximizes the synergies between Avionics Based Integrity Augmentation (ABIA) and UAS cooperative/non-cooperative SAA architectures. When the specified collision risk thresholds are exceeded, an avoidance manoeuvre is performed by implementing a heading-based differential geometry or pseudospectral optimization to generate a set of optimal trajectory solutions free of mid-air conflicts. The optimal trajectory is selected using a cost function with minimum time constraints and fuel penalty criteria weighted for separation distance. The optimal avoidance trajectory also considers the constraints imposed by the ABIA in terms of UAS platform dynamics and GNSS satellite elevation angles (plus jamming avoidance when applicable), thus preventing degradation or loss of navigation data during the Track, Decision and Avoidance (TDA) process. The performance of this Integrity-Augmented SAA (IAS) architecture was evaluated by simulation case studies involving cooperative and non-cooperative platforms. Simulation results demonstrate that the proposed IAS architecture is capable of performing high-integrity conflict detection and resolution when GNSS is used as the primary source of navigation data.
Subjects Avionics
Aerospace Engineering not elsewhere classified
Flight Dynamics
Keyword(s) Avionics based integrity augmentation
Global navigation satellite system
Obstacle avoidance
Obstacle detection
Sense-and-avoid
Unmanned aircraft
DOI - identifier 10.1109/ICUAS.2015.7152347
Copyright notice © 2015 IEEE
ISBN 9781479960095
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