Low Cost, Low Complexity Sensor Design for Non-Cooperative Geolocation via Received Signal Strength

Abstract

Obtaining accurate non-cooperative geolocation is vital for persistent surveillance of a hostile emitter. Current research for developing a small, cheap and energy efficient sensor network for non-cooperative geolocation measurements via received signal strength (RSS) is limited. Most existing work focuses on simulating a non-cooperative network (NN) and in doing so, simulated models often ignore localization errors caused from the hardware processing raw RSS data and often model environment-dependent errors as random. By comparing real-time measured non-cooperative geolocation data to a simulated system a more accurate model can be developed. This thesis discusses the development and performance of a small, low cost, low complexity, and energy efficient sensor network that can locate a NN via RSS. The main focus of this research effort is designing a Poor Man's Spectrum Analyzer (PMSA) to locate a wireless device in a non-cooperative network (NN) that is transmitting in the Industrial, Scientific and Medical (ISM) radio band of 2.403 GHz to 2.48 GHz by measuring the emitter's received signal strength (RSS).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA557524

Entities

People

  • Michael S. Butler

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Energy Consumption
  • Global Positioning Systems
  • Governments
  • Measurement
  • Sensor Networks
  • Signal Generators
  • Test And Evaluation
  • United States Naval Academy
  • Waveform Generators
  • Wireless Sensor Networks

Readers

  • Neural Network Machine Learning.
  • Radio communications and signal processing.
  • Sensor Fusion and Tracking Systems.