Modeling the Observer in Target Acquisition.

Abstract

Models of target acquisition by human observers are probabilistic. Two reasons for the indeterminate nature of the models are: (1) the observer ensemble includes individuals with varying levels of competence in target acquisition, and (2) the target acquisition process is itself (at least in part) a random process. Each of the two commonly used combat simulations, CASTFOREM and JANUS, assumes that (a different) one of these reasons completely accounts for the indeterminacy, and ignores the other. Although the distinction is irrelevant for the simple one-on-one case, it has recently been shown that the choice can profoundly affect the outcomes of more realistic many-on-many engagements. We propose a model in which target detection probability is a function of both a target statistic and an observer statistic. Our analysis of recently compiled observer test data validates the model and provides it with the correct quantitative balance between variations among observers and the inherently stochastic component of target acquisition. We provide a working simulation that precisely represents our model. The algorithm is suitable for insertion into the wargames; it builds on the approaches of its predecessors but requires only a small increase in complexity.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1997
Accession Number
ADA326220

Entities

People

  • James D. Silk

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Computational Science
  • Data Analysis
  • Detection
  • Distribution Functions
  • Observation
  • Observers
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Random Variables
  • Simulations
  • Target Acquisition
  • Target Detection
  • Target Signatures
  • War Games

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design