Smart Weapons Encounter Model

Abstract

This report covers the Smart Weapon Encounter Model (SWEM) developed to support the Tank Extended Range Munition (TERM) science and technology objective (STO) III G.3. The report describes the model's algorithm, input, and Output. SWEM uses solid geometry and statistical methods to calculate the probability that a target will fall within the field of view (FOV) of a sensor mounted on a smart weapon. When the target passes into the F0V of the sensor, an encounter is said to have occurred. SWEM calculates the probability of such encounters for a given sensor on a weapon traveling along a specific trajectory. The probability is determined by repeating a series of calculations in which the target's location or movements are randomly varied from calculation to calculation. Only the probability of encounter is determined. SWEM does not calculate the probability that the sensor system will be able to detect an encountered target against its background environment. Neither does it determine the probability that the weapon will be able to maneuver to a target once it is detected. However, SWEM does calculate the first necessary step in a series of steps leading to target interception.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2000
Accession Number
ADA376844

Entities

People

  • Kenrick K. Chien
  • Richard J. Pearson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Algorithms
  • Coordinate Systems
  • Euler Angles
  • Geometry
  • Graphical User Interface
  • Military Research
  • Moving Targets
  • Munitions
  • Orientation (Direction)
  • Precision-Guided Munitions
  • Projectiles
  • Simulations
  • Three Dimensional
  • Trajectories
  • Unmanned Aerial Vehicles

Readers

  • Computational Modeling and Simulation
  • Missile Defense Systems.
  • Trauma or Military Medicine