@inproceedings { , title = {Trajectory optimisation for avionics-based GNSS integrity augmentation system}, abstract = {© 2016 IEEE. 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 safety-critical aviation applications. The trajectory optimisation algorithms can be employed both for flight planning as well as real-time 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.}, conference = {IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)}, doi = {10.1109/DASC.2016.7778054}, isbn = {978-1-5090-2524-4}, organization = {Sacramento, USA}, publicationstatus = {Published}, url = {https://nottingham-repository.worktribe.com/output/835679}, keyword = {Avionics Based Integrity Augmentation, Trajectory Optimisation, Caution and Warning Flags, GNSS Integrity, Mission-and Safety-Critical GNSS Applications}, year = {2024}, author = {Sabatini, Roberto and Moore, Terry and Hill, Chris and Gardi, Alessandro and Ramasamy, Subramanian and Gilgien, Michael} }