Development of a Composite Measure for Predicting Engagement Outcome during Air Combat Maneuvering

Abstract

This research was to develop a composite performance measure for predicting engagement outcome during air combat maneuvering (ACM). Data were collected in the Simulator for Air-to-Air Combat (SAAC) located at Luke AFB, AZ. Each of 125 U.S. Air Force pilots current in the F-15 or F-16 fighter aircraft flew 8 SAAC 1v1 engagements. Experimental factors included Aircraft type, Start Position, Opponent type, and Order of engagement. Engagement outcomes were classified as win, loss, or draw. Ten candidate measures were evaluated reflecting basic aircraft state parameters and positional advantage measures indicating relative offensiveness and defensiveness. Objectives were to (1) determine effects of experimental factors on engagement outcome; (2) determine statistical relationship of candidate measures to experimental factors; (3) determine relative importance of measurement categories for prediction of engagement outcome; and (4) produce a composite measure of performance from all candidate measures that maximizes the prediction of engagement outcome. Results concluded that a composite measure of ACM performance from a linear combination of aircraft state and positional advantage measures for use in transfer of training evaluations is feasible. This investigation demonstrated that engagement outcome can be predicted from measures available from instrumented range systems such as the Air Combat Maneuvering Instrumentation. Implications for future research are discussed with recommendations for analyses of this engagement database.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1992
Accession Number
ADA252344

Entities

People

  • Jeffrey L. Leeds
  • Wayne L. Waag
  • William B. Raspotnik

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computational Science
  • Computers
  • Data Mining
  • Data Science
  • Databases
  • Descriptive Analytics
  • Energy Management
  • Flight Simulators
  • Flight Training
  • Human Resources
  • Information Science
  • Knowledge Management
  • Measurement
  • Training
  • Training Management

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Systems Analysis and Design