Accession Number:

ADA445060

Title:

Coordinating Networked Uninhabited Air Vehicles for Persistent Area Denial

Descriptive Note:

Conference paper

Corporate Author:

OHIO STATE UNIV COLUMBUS DEPT OF COMPUTER SCIENCE AND ENGINEERING

Report Date:

2004-12-17

Pagination or Media Count:

7.0

Abstract:

This paper explores the problem of cooperative control among multiple networked unmanned air vehicles UAVs for a persistent area denial PAD mission. An adaptive Markov chain model is used to predict the locations of pop-up threats. The mixed information of predicted pop-up threats and actual pop-up targets is utilized to develop cooperative strategies for networked UAVs. The approach is illustrated by use of a simulation test bed for multiple networked UAVs and Monte Carlo simulation runs to evaluate the cooperative strategy set forth here. Both theoretical analysis and simulation results are presented to demonstrate the effectiveness of using predicted pop-up information in improving the overall PAD mission performance.

Subject Categories:

  • Pilotless Aircraft
  • Statistics and Probability
  • Defense Systems
  • Target Direction, Range and Position Finding
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE