Localization and Tracking of 4G Cognitive Radio

Abstract

The 4G network provides a significant improvement in performance, but service providers are still faced with the annual increase in usage of cell phones and wireless devices. Spectrum efficiency is the most prominent issue in handling the high number of users. The cognitive radio is capable of changing its transmission and/or reception parameters according to the demands of the network. In the 4G network, the cognitive radio is seen as a solution to spectrum efficiency. With the high number of users, it also means that there is a need to effectively localize and track the 4G cognitive radio (4G-CR) signal for various purposes such as urban environment warfare, national security, surveillance, intelligence, and emergency rescue. The localization errors from previous proposed methods of time-difference-of-arrival (TDOA) measurements were analyzed in this thesis. The localization errors obtained are close to the differential-distance errors derived from the TDOA measurement algorithms. In addition, the localization of 4G-CR requires an adaptive tracking method, which is also discussed in this thesis.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
AD1186429

Entities

People

  • Wei S. Lee

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • 4G Wireless Networks
  • Cognitive Radio
  • Communication Systems
  • Coordinate Systems
  • Detection
  • Detectors
  • Electrical Engineering
  • Error Analysis
  • Frequency Agility
  • Global Positioning Systems
  • Information Science
  • Mathematical Models
  • Mobile Phones
  • Modulation
  • Multiple Access
  • Multiplexing
  • Orthogonal Frequency Division Multiplexing
  • Radio Equipment
  • Sensor Networks
  • Wireless Communications
  • Wireless Sensor Networks

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design