Abstract
With increasing air traffic flow, the increasingly complex air traffic situation has raised possibility of conflicts, which requires higher timeliness and accuracy for conflict detection. Based on the rapidly growing air traffic control technologies, such as radars with excellent accuracy, an improved unscented particle filter (MUPF) algorithm is proposed to perform real-time aircraft status estimation. Compared to traditional particle filter algorithms (UPF), our MUPF uses fewer particles and generates higher accuracy, resulting in considerable reduction in amount of computation. Therefore, it is then implemented to perform conflict detection. The simulation results show that our algorithm has higher accuracy than UPF, and in conflict detection, it also surpass UPF with lower rate of false alert, higher rate of success alert and smaller error.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yu, L., Zhang, S., Zhu, X. (2011). Conflict Detection Based on Improved Unscented Particle Filter. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_4
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DOI: https://doi.org/10.1007/978-3-642-19853-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
eBook Packages: Computer ScienceComputer Science (R0)