Cooperative Localization on Computationally Constrained Devices

Abstract

Cooperative localization is a useful way for nodes within a network to share location information in order to better arrive at a position estimate. This is handy in GPS contested environments (indoors and urban settings). Most systems exploring cooperative localization rely on special hardware, or extra devices to store the database or do the computations. Research also deals with specific localization techniques such as using Wi-Fi, ultra-wideband signals, or accelerometers independently opposed to fusing multiple sources together. This research brings cooperative localization to the smartphone platform, to take advantage of the multiple sensors that are available. The system is run on Android powered devices, including the wireless hotspot. In order to determine the merit of each sensor, analysis was completed to determine successes and failures. The accelerometer, compass, and received signal strength capability were examined to determine their usefulness in cooperative localization. Experiments at meter intervals show the system detected changes in location at each interval with an average standard deviation of 0.44m. The closest location estimates occurred at 3m, 4m and 6m with average errors of 0.15m, 0.11m, and 0.07m respectively. This indicates that very precise estimates can be achieved with an Android hotspot and mobile nodes.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2012
Accession Number
ADA558139

Entities

People

  • Randy S. Cicale Ii

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Information Science
  • Mobile Devices
  • Mobile Operating Systems
  • Mobile Phones
  • Operating Systems
  • Sensor Networks
  • Smartphones
  • Software Development
  • Urban Areas
  • Wireless Communications
  • Wireless Computer Networks
  • Wireless Networks

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Mathematics or Statistics
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space