Implementation of Collaborative RF Localization Using a Software-Defined Radio Network

Abstract

This thesis investigates the use of collaboration between sensor nodes that were tasked with localizing a radio frequency emitter. Localization is a necessary component for dynamic spectrum access. Using a set of software-defined radios as our sensors and a received signal strength-based maximum likelihood localization algorithm, we successfully localized transmitting nodes based on their received signal strength. Our experiment was conducted outdoors using a flexible topology that could be shaped into 21 sub-topologies that varied in size, and orientation with respect to the transmitters. This was made possible through application of a time shift concept and a postprocessing technique. We were able to compare our real world results with the simulated results of the same topologies. Although our simulation results did not fully comply with our real world results, we observed some common trends regarding effective topology design.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA499512

Entities

People

  • Augustine A. Honore

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computers
  • Data Reduction
  • Energy Harvesting
  • Frequency
  • Frequency Bands
  • Object Oriented Programming
  • Orientation (Direction)
  • Processing Equipment
  • Python Programming Language
  • Radio Communications
  • Radio Equipment
  • Radio Frequency
  • Software Defined Radio
  • Transmitters
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Computer Vision.
  • Integrated Circuit Design and Technology.