This paper discusses the evaluation method of Airborne Collision Avoidance System (ACAS) algorithms. The risk ratio analysis is discussed using probability theory. Natural spline functions are presented as a tool for radar data smoothing and interpolation. Finally, the risk ratios of sample situations are calculated.
A numerical evaluation method of the revised ACAS algorithms using a smoothed spline interpolation
2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484) ; 1 ; 539-545 vol.1
2000-01-01
651433 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Numerical Evaluation Method of the Revised ACAS Algorithms Using a Smoothed Spline Interpolation
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