Abstract—Air combat maneuvers are very complex actions performed by agile aircrafts. Extracting critical maneuvers from a combat scenario in a structured format has many advantages like teaching maneuvers to the unmanned systems, evaluating pilot performance or analyzing possible combat scenarios. Basic Fighter Maneuvers are special maneuvers that are building blocks of combat fighting. This article proposes a methodology to identify pre-defined movements, match well-known combat maneuvers in a real flight of agile combat aircraft and build a feasible corpus to use this data for machine learning. The claims of the paper are justified by the simulation results.

 

Index Terms—flight parsing, basic fighter maneuvers, air combat

Cite: Mustafa Karli, Mehmet Önder Efe, and Hayri Sever, "Extracting Basic Fighter Maneuvers from Actual Flight Data," Lecture Notes on Information Theory, Vol. 5, No. 1, pp. 1-6, June 2017. doi: 10.18178/lnit.5.1.1-6