A Review of Recent Algorithms and a New and Improved Cooperative Control Design for Generating a Phantom Track (Preprint)

Abstract

For a team of unmanned aerial vehicles (UAVs) to deceive a radar network by generating a phantom track requires a high degree of cooperation due to: 1) dynamic constraints imposed mainly by the UAVs and 2) strong coupling caused by the phantom. We first review three works that have addressed this problem, namely two one-step look-ahead algorithms and an optimal solution with full time horizon; original simulations of each are included. Second, since the one-step algorithms do not satisfy the UAV and/or phantom constraints in many cases, we design a new algorithm that does, as shown by simulation. Finally, we add a multi-step look-ahead for the UAV constraints and modify the algorithm so that an operator can dynamically add objective waypoints for the phantom.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2007
Accession Number
ADA467506

Entities

People

  • Keith B. Purvis
  • Phillip R. Chandler

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Control Systems
  • Cooperative Control
  • Engineering
  • Geometry
  • Government Procurement
  • Governments
  • Guidance
  • Law
  • Mathematics
  • Military Research
  • Simulations
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

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  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Medical Imaging.

Technology Areas

  • Autonomy