Frequency Domain Data for Analyzing the Performance of Adaptive Threshold Estimators in Cognitive Radio

Published: 9 May 2018 | Version 1 | DOI: 10.17632/nyvcpv4s8k.1

Description of this data

The data provided here contains MATLAB files of different frequency domain samples simulated to describe different sensing conditions in Cognitive Radio (CR). The sensing conditions considered in these datasets refer to Frequency Modulated Signals, OFDM signals, Narrow and Wideband Signals, and Real-life TV signals. These datasets are intended to be used to analyze the performance of adaptive threshold estimation algorithms typically deployed for use in the Energy Detector front end of a CR system. Researchers can thus use these datasets as a common platform for evaluating their algorithms.

Experiment data files

This data is associated with the following publication:

A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio

Published in: Physical Communication

Latest version

  • Version 1


    Published: 2018-05-09

    DOI: 10.17632/nyvcpv4s8k.1

    Cite this dataset

    Onumanyi, Adeiza (2018), “Frequency Domain Data for Analyzing the Performance of Adaptive Threshold Estimators in Cognitive Radio”, Mendeley Data, v1


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Downloads: 48


Federal University of Technology Minna School of Engineering and Engineering Technology


Cognitive Radio Network, Wireless Telecommunication Systems


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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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