Extending the State-of-the-Art for the COMAN/ATCAL Methodology

Abstract

This thesis reviews currently existing attrition methodologies and critically examines the (ATtrition CALibration) ATCAL approach for heterogeneous force mixes. Lanchester attrition-rate coefficients must be calibrated for use in ATCAL. When the aggregated combat results from a Lanchester-type attrition model agree with the results of a high-resolution simulation, for a particular mix of weapons on either side, the equation is said to be calibrated. Combat scenario runs are made in the high-resolution JANUS combat model. A maximum likelihood estimation approach (COMAN), which incorporates target priority and availability information, is used to estimate the Lanchester attrition rates in the ATCAL model. A continuous-time, three-state Markov chain model of target acquisition in JANUS is used to obtain the target availability parameters required in the COMAN approach. Bootstrap confidence intervals are developed for the attrition-rate estimates and the target availability parameters. The ability of the ATCAL methodology to replay JANUS results in an aggregated, heterogeneous-force replay model is investigated. These developments have the potential for allowing high-resolution simulation results to be extrapolated to a wider spectrum of conditions (e.g., force mixes) than currently possible by virtue of the more detailed nature of the aggregated-replay model involved.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA363016

Entities

People

  • Ugur Z. Yildirjm

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Armored Personnel Carriers
  • Artillery
  • Artillery Units
  • Attrition
  • Computational Science
  • Computer Programs
  • Computers
  • Detection
  • Differential Equations
  • Fixed Wing Aircraft
  • Indirect Fire
  • Operations Research
  • Random Variables
  • Self Propelled Guns
  • Target Acquisition
  • United States
  • Urban Areas

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation