Sensitivity of Aircraft Attrition Estimates to Aiming Distribution Parameters of Antiaircraft Artillery.

Abstract

This study was conducted to investigate the sensitivity of aircraft probability of kill (P sub k ) estimates to th parameters of a supplied antiaircraft artillery aiming angle distribution. A model was developed using basic physical relationships for the shell propagation and Monte Carlo sampling techniques to incorporate the random errors into the model. A shaped target was used and all random error sources were assumed to be bivariate normally distributed with zero means. Simulation runs were made holding all variables constant except for the aiming angle variances and response curves were constructed by plotting Pk versus aiming angle variance. Tests were also conducted to test the assumption that the shell distribution on the encounter plane was bivariate normal and that the effects of gravity drop on the shell could be neglected. The results from the study model were compared with similar results from model P001. The sensitivity of the Pk estimates was found to be a function of the magnitude of the Pk, the aiming angle variance, the sum of the ballistic error variances, and the aircraft vulnerable area. Response curve trends indicated slightly more sensitivity from the study model than from P001, however, it could not be concluded with certainty. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA069447

Entities

People

  • Errol C. Wilkins

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Anti-Aircraft Guns
  • Artillery
  • Attrition
  • Ballistics
  • Computational Science
  • Exterior Ballistics
  • Flight Paths
  • Impact Point
  • Mach Number
  • Mathematical Models
  • Projectile Trajectories
  • Projectiles
  • Simulations
  • Test And Evaluation
  • Trajectories

Readers

  • Approximation Theory.
  • Computational Fluid Dynamics (CFD)
  • Marksmanship and Weaponry.