Through-Wall Person Localization Using Transceivers in Motion

Abstract

We develop methods for device-free localization (DFL) and tracking using transceivers in motion. Standard DFL systems use a large number of static transceivers which is problematic for applications which require rapid deployment. We propose that transceivers mounted onautonomous vehicles could be both quickly deployed and kept moving to "sweep" an area for changes in the channel that would indicate the location of moving people and objects. The challenge is that changes to channel measurements are introduced both by changes in the environment and from motion of the transceivers. In this paper, we demonstrate a method to detect human movement despite transceiver motion using ultra-wideband impulse radar (UWB-IR) transceivers. The measurements reliably detect a person's presence on a link linedespite small-scale fading. We explore via multiple experiments the ability of mobile UWB-IR transceivers, moving outside of the walls of a room, to measure many lines crossing through the room and accurately locate a person inside within 0.25 m average error.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
AD1182273

Entities

People

  • Dustin Maas
  • Neal Patwari
  • Peter Hillyard
  • Sneha Kasera
  • Sriram Premnath

Organizations

  • University of Utah

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Autonomous Vehicles
  • Communication Systems
  • Coordinate Systems
  • Detection
  • Detectors
  • Electromagnetic Wave Propagation
  • Line Of Sight
  • Measurement
  • Mobile Computing
  • Mobile Devices
  • Multiple Input Multiple Output
  • Networks
  • Radar
  • Sensor Networks
  • Standards
  • Transmitters
  • Wave Propagation
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Radio communications and signal processing.
  • Robotics and Automation.
  • Sensor Fusion and Tracking Systems.