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

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 t...

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Main Authors: Sabatini, Roberto, Moore, Terry, Hill, Chris, Ramasamy, Subramanian
Format: Conference or Workshop Item
Published: 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/34894/
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author Sabatini, Roberto
Moore, Terry
Hill, Chris
Ramasamy, Subramanian
author_facet Sabatini, Roberto
Moore, Terry
Hill, Chris
Ramasamy, Subramanian
author_sort Sabatini, Roberto
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-348942020-05-04T17:10:54Z https://eprints.nottingham.ac.uk/34894/ Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks Sabatini, Roberto Moore, Terry Hill, Chris Ramasamy, Subramanian 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. 2015-06-12 Conference or Workshop Item PeerReviewed Sabatini, Roberto, Moore, Terry, Hill, Chris and Ramasamy, Subramanian (2015) Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks. In: 2015 International Conference on Unmanned Aircraft Systems (ICUAS), 9-12 June 2015, Denver, Colorado, USA. Avionics Based Integrity Augmentation Unmanned Aircraft Sense-and-Avoid Obstacle Detection Obstacle Avoidance and Global Navigation Satellite System http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7152347&tag=1 10.1109/ICUAS.2015.7152347 10.1109/ICUAS.2015.7152347 10.1109/ICUAS.2015.7152347
spellingShingle Avionics Based Integrity Augmentation
Unmanned Aircraft
Sense-and-Avoid
Obstacle Detection
Obstacle Avoidance and Global Navigation Satellite System
Sabatini, Roberto
Moore, Terry
Hill, Chris
Ramasamy, Subramanian
Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title_full Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title_fullStr Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title_full_unstemmed Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title_short Assessing avionics-based GNSS integrity augmentation performance in UAS mission- and safety-critical tasks
title_sort assessing avionics-based gnss integrity augmentation performance in uas mission- and safety-critical tasks
topic Avionics Based Integrity Augmentation
Unmanned Aircraft
Sense-and-Avoid
Obstacle Detection
Obstacle Avoidance and Global Navigation Satellite System
url https://eprints.nottingham.ac.uk/34894/
https://eprints.nottingham.ac.uk/34894/
https://eprints.nottingham.ac.uk/34894/