Passive Geolocation of Low-Power Emitters in Urban Environments Using TDOA

Abstract

Low-power devices are commonly used by the enemy to control Improvised Explosive Devices (IEDs), and as communications nodes for command and control. Quickly locating the source of these signals is difficult, especially in an urban environment where buildings and towers can cause interference. This research presents a geolocation system that combines several geolocation and error mitigation methods to locate an emitter in an urban environment. The proposed geolocation system uses a Time Difference of Arrival (TDOA) technique to estimate the location of the emitter of interest. Using sensors at known locations, TDOA estimates are obtained by cross-correlating the signal received at all the sensors. A Weighted Least Squares (WLS) solution is used to estimate the emitter's location. If the variance of the location estimate is too high, a sensor is detected as having a Non-Line of Sight (NLOS) path from the emitter, and is removed from the geolocation system and a new position estimate is calculated with the remaining sensor TDOA information. The performance of the system is assessed through modeling and simulations. The test results confirm the feasibility of identifying a NLOS sensor, thereby improving the geolocation system's accuracy in an urban environment.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA471571

Entities

People

  • Myrna B. Montminy

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Angle Of Arrival
  • Command And Control
  • Communication Channels
  • Correlation Techniques
  • Cross Correlation
  • Geometry
  • Global Positioning Systems
  • Mobile Phones
  • Multiple Access
  • Navigation
  • Three Dimensional
  • Time Division Multiple Access
  • Two Dimensional
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Electronics Engineering

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control