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A Cooperative Spectrum Sensing Network with Signal Classification Capabilities

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This report describes the design and implementation of the spectrum sensing and signal classification sub-systems of a cooperative network. A sensor blindly receives and calculates the cyclic statistics of a signal decides whether or not the signal represents information or noise. If the signal's statistics indicate the presence of data, the system attempts to classify its modulation scheme. Finally, the decisions of several independent sensors are combined to provide a reliable estimate of the contents of the spectrum of interest. Independently, sensors correctly classify a signal about 60-70% of the time in a low SNR environment. The data fusion module improves this number significantly - especially as the number of sensors increases.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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  • E-project-121709-152257
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  • 2009
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Date created
  • 2009-12-17
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