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Trajectory optimisation for avionics-based GNSS integrity augmentation system

Sabatini, Roberto; Moore, Terry; Hill, Chris; Gardi, Alessandro; Ramasamy, Subramanian; Gilgien, Michael

Authors

Roberto Sabatini

Terry Moore

Chris Hill

Alessandro Gardi

Subramanian Ramasamy

Michael Gilgien



Abstract

In this paper, trajectory optimisation algorithms developed specifically for the Global Navigation satellite System (GNSS) Avionics-Based Integrity Augmentation (ABIA) system are presented. The ABIA system is designed to increase the levels of integrity and accuracy (as well as continuity in multi-sensor data fusion architectures) of GNSS in a variety of mission- and safetycritical aviation applications. The trajectory optimisation algorithms can be employed both for flight planning as well as realtime optimisation of manned and unmanned aircraft for all flight phases. Three and six Degrees-of-Freedom (3-DoF/6-DoF) aircraft dynamics models are adopted to generate a number of feasible flight trajectories that also satisfy the GNSS constraints. A detailed simulation case study is presented to evaluate the performance of trajectory optimisation algorithms for GNSS integrity augmentation using an AIRBUS A320 3-DoF aircraft dynamics model. Results confirm that the employed trajectory optimisation algorithms are capable of supporting high-integrity tasks when GNSS is used as the primary source of navigation data.

Publication Date Dec 12, 2016
Peer Reviewed Peer Reviewed
Book Title 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)
APA6 Citation Sabatini, R., Moore, T., Hill, C., Gardi, A., Ramasamy, S., & Gilgien, M. (2016). Trajectory optimisation for avionics-based GNSS integrity augmentation system. In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC.2016.7778054
DOI https://doi.org/10.1109/DASC.2016.7778054
Keywords Avionics Based Integrity Augmentation, Trajectory Optimisation, Caution and Warning Flags, GNSS Integrity, Mission-and Safety-Critical GNSS Applications
Publisher URL http://ieeexplore.ieee.org/document/7778054/
Related Public URLs http://2016.dasconline.org/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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