CROPDUSTER: A Model for Evaluating the "Common Relevant Operational Picture (CROP)"

Abstract

A high-level, low-resolution (HLLR) stochastic model for evaluating the benefits of a Common Relevant Operational Picture (CROP) is described. The model focuses on the sensor-to-shooter information needed by elements of a joint force to engage time critical Targets. The model includes realistic random delays or latency caused by congestion or system unreliability, random times until Target detection and loss, and a probabilistic representation of the Services' overall capability to detect, classify and shoot at a varying set of different Target types. The model results support the following conclusions. CROP can increase the number of time-critical Targets killed, sometimes considerably; CROP can decrease the mean and variance of the number of weapons expended to kill Targets; the benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA405580

Entities

People

  • Donald P. Gaver Jr.
  • F. R. Richards
  • Patricia A. Jacobs
  • Steven E. Pilnick

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Congestion
  • Detection
  • Detectors
  • Information Exchange
  • Information Science
  • Kill Probabilities
  • Low Resolution
  • Mathematical Analysis
  • Military Operations
  • Operations Research
  • Probability
  • Random Variables
  • Statistical Analysis
  • Systems Engineering
  • Target Classification
  • Target Detection
  • United States

Fields of Study

  • Engineering

Readers

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