Combat Identification Using Multiple TUAV Swarm

Abstract

In modern warfare, Tactical Unmanned Aerial Vehicles (TUAVs) are rapidly taking on a leading role in traditional and non-traditional ISR, to include Automatic Target Recognition (ATR). However, additional advancements in processors and sensors on TUAVs are still needed before they can be widely employed as a primary source for positive identification in the Combat Identification (CID) process. Cost is a driving factor for operating an ATR system using multiple TUAVs. The cost of high quality sensors appropriate for a single TUAV can be significantly higher than less sophisticated sensors suitable for deployment on a group, or swarm, of coordinated TUAVs. Employing two or more coordinated TUAVs with less complex sensors may lead to an equivalent or even better CID call than sending a single TUAV with more sophisticated sensors at a significantly higher cost. In addition, the coordinated TUAVs may be capable of reducing the time needed to correctly discriminate an object. Five measures of performance (accuracy, number of TUAVs shot down, TUAV preparation time, mean of decision time, mean of simulated mission time) from the simulation models are collected to compare the swarm system to the single TUAV system. Statistical comparisons are conducted using a paired t-test. The results illustrate improved performance of our swarm systems across most measures of performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA488141

Entities

People

  • Younin Kang

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Air Force
  • Aircrafts
  • Armored Personnel Carriers
  • Defense Systems
  • Detection
  • Detectors
  • Fixed Wing Aircraft
  • Ground Control Stations
  • Identification
  • Radar
  • Recognition
  • Statistical Analysis
  • Synthetic Aperture Radar
  • Target Recognition
  • Unmanned Aerial Vehicles
  • Warfare

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - UAVs