Probabilistic Estimation of Rare Random Collisions in 3 Space

Abstract

A study of risk assessment for artillery fire randomly colliding with fixed wing aircraft is presented. The research lends itself to a general study of collision models. Current models of object collisions fall under one of three categories: the historical model, the gas particle model, and the satellite model. These three vary in data requirements and mathematical representation of the impact event. The gas particle model is selected for its flexibility and robust estimation. However, current mathematical development in the literature does not include certain spatial and dynamic components necessary for a general encounter (collision) model. These are derived in this work. For the specific application at hand Quadratic formulas estimate the ballistic arc of artillery shells to provide instantaneous relative velocities. An extended Poisson spatial process is applied over the relative volume within a collision radius during the conflict time window to provide a probability of collision. Implementation of the model for military use has been achieved via an Excel spreadsheet providing scenario study capability in real time. Results for several scenarios are presented which have been validated by experts. These results support current policy of strict deconfliction.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA500637

Entities

People

  • Timothy Holzmann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Satellites
  • Artillery
  • Computational Science
  • Information Science
  • Military Operations
  • Military Science
  • Operations Research
  • Probabilistic Models
  • Random Variables
  • Risk Analysis
  • Space Debris
  • Spreadsheet Software
  • Three Dimensional
  • Two Dimensional
  • Unmanned Aerial Vehicles

Readers

  • Computational Modeling and Simulation
  • Plasma Physics / Magnetohydrodynamics

Technology Areas

  • Space
  • Space - Orbital Debris