Constrained Geometry Relative Swarm Localization

Abstract

Operating in GPS-denied environments presents many challenges when accurate positioning, navigation, and timing information is required. A simple way of alleviating many of these problems without complex infrastructure is by employing swarms of cooperative agents instead of utilizing solitary individuals. In real-use cases like unmanned aerial vehicle missions or munition delivery, optimum swarm geometries cannot be used because the location of other agents, other equipment, or even terrain obstruct correct positioning. In this report, we develop a high-performance constrained swarm geometry and characterize it based on its Z-dimension standard deviation, position root mean square error, and dilution of precision. We further characterize the Nanotron SwarmBee ranging devices long-range accuracy and performance in a multipath environment. Lastly, we conduct a real-world test of our best constrained geometry and compare its performance to our simulated results.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1088617

Entities

People

  • Daniel P. Everson
  • Michael L. Don
  • Mitchell J. Grabner

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Antenna Radiation Patterns
  • Artificial Satellites
  • Data Science
  • Geometry
  • Global Positioning Systems
  • Navigation
  • Radiation Patterns
  • Range Finding
  • Spectrum Analyzers
  • Standards
  • Statistics
  • Two Dimensional
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Positioning, Navigation, and Timing (PNT) Technology.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers