Cooperative Wideband Spectrum Sensing and Localization Using Radio Frequency Sensor Networks

Abstract

This thesis implements spectrum sensing and localization tasks using a radio frequency sensor network and analyzes the performance of this implementation through simulation. A sensor network based cooperative wideband spectrum sensing and localization scheme is proposed for the implementation of the tasks. In the proposed scheme, wavelet-based multi-resolution spectrum sensing and received signal strength-based localization methods, which were originally proposed for cognitive radio applications, are adapted to radio frequency sensor networks. For cooperation of the nodes in the proposed scheme, a new three-bit hard combination technique is developed. A simulation model is created in MATLAB programming language to implement the proposed scheme and to analyze its simulation performance. The results of the simulation show that the proposed sensor network based cooperative wideband spectrum sensing and localization scheme is appropriate for radio frequency sensor networks and the proposed three-bit hard combination scheme is superior to the traditional hard combination schemes in terms of false alarm reduction.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA510221

Entities

People

  • Volkan Sonmezer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Cognitive Radio
  • Communication Systems
  • Detection
  • Detectors
  • False Alarms
  • Frequency Bands
  • Information Science
  • Programming Languages
  • Radio Frequency
  • Radio Frequency Detectors
  • Sensor Networks
  • Signal Processing
  • Software Defined Radio
  • Warning Systems
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Astronomy and Astrophysics.
  • Computer Vision.
  • Distributed Systems and Data Platform Development