Geolocation of RF Emitters Using a Low-Cost UAV-Based Approach

Abstract

The proliferation of unmanned aerial vehicles (UAVs) in both military and civilian settings has prompted great interest in finding new and innovative ways to utilize these tools. One such application is to locate ground-based radio emitters from a UAV platform. The goal of this research is to study the feasibility of a low-cost (on the order of $1000) UAV geolocation platform. To accomplish this goal, a series of both real-world flight testing and computer simulated scenarios were conducted. Simulations for different sensor uncertainties and approach path scenarios such as loiter and button hook patterns were investigated. Results showed that a high uncertainty sensor of 10 degrees was able to reliably geolocate the target provided it could fly sufficiently close to the emitter location. For the physical testing, a commercial-off-the-shelf Doppler direction finding unit was chosen as the method of performing the geolocation. Ground testing proved promising, locating the emitter to within 20 meters. However, flight testing showed poor results and was unable to locate the target. Areas of future work that could improve upon these results include investigating how altitude and antenna orientation variations caused by the movement of the aircraft affect the performance of the direction finding unit.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2016
Accession Number
AD1054177

Entities

People

  • Michael A. Magers

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Altitude
  • Angle Of Arrival
  • Computers
  • Direction Finders
  • Direction Finding
  • Doppler Effect
  • Flight Testing
  • Ground Based
  • Mobile Phones
  • Navigation
  • Orientation (Direction)
  • Simulations
  • Two Dimensional
  • Unmanned Aerial Vehicles

Readers

  • Aerospace Test and Evaluation
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Autonomy