Latest revision as of 19:46, 3 February 2021

Abstract

This paper is focused on trajectory reconstruction techniques for evaluating ATC systems, using real data of recorded opportunity traffic. We analyze different alternatives for this problem, from traditional interpolation approaches based on curve fitting to our proposed schemes based on modeling regular motion patterns with optimal smoothers. The extraction of trajectory features such as motion type (or mode of flight), maneuvers profile, geometric parameters, etc., allows a more accurate computation of the curve and the detailed evaluation of the data processors used in the ATC centre. Different alternatives will be compared with some performance results obtained with simulated and real data sets.

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The different versions of the original document can be found in:

• http://oa.upm.es/3709 under the license https://creativecommons.org/licenses/by-nc-nd

• http://oa.upm.es/3709/2/INVE_MEM_2008_56585.pdf under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es/

• http://xplorestaging.ieee.org/ielx5/4636705/4649016/04649050.pdf?arnumber=4649050,

http://dx.doi.org/10.1109/tiwdc.2008.4649050 under the license cc-by-nc-nd

• http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004649050,

https://ieeexplore.ieee.org/document/4649050,

https://academic.microsoft.com/#/detail/2021653024