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NASA NTRS · Conference Paper

A TCAS-II Resolution Advisory Detection Algorithm

Published 2019-07-12 From Langley Research Center 3 authors

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Langley Research Center.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

The Traffic Alert and Collision Avoidance System (TCAS) is a family of airborne systems designed to reduce the risk of mid-air collisions between aircraft. TCAS~II, the current generation of TCAS devices, provides resolution advisories that direct pilots to maintain or increase vertical separation when aircraft distance and time parameters are beyond designed system thresholds. This paper presents a mathematical model of the TCAS~II Resolution Advisory (RA) logic that assumes accurate aircraft state information. Based on this model, an algorithm for RA detection is also presented. This algorithm is analogous to a conflict detection algorithm, but instead of predicting loss of separation, it predicts resolution advisories. It has been formally verified that for a kinematic model of aircraft trajectories, this algorithm completely and correctly characterizes all encounter geometries between two aircraft that lead to a resolution advisory within a given lookahead time interval. The RA detection algorithm proposed in this paper is a fundamental component of a NASA sense and avoid concept for the integration of Unmanned Aircraft Systems in civil airspace.

Authors

  • Munoz, Cesar NASA Langley Research Center
  • Narkawicz, Anthony NASA Langley Research Center
  • Chamberlain, James NASA Langley Research Center

Citation: Munoz, Cesar, Narkawicz, Anthony, Chamberlain, James (2019). A TCAS-II Resolution Advisory Detection Algorithm. Langley Research Center. NASA NTRS ID 20140002736. https://ntrs.nasa.gov/citations/20140002736 ↗