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Spectrum Sensing Based on Spectral Correlation

  • Published:2009 Issue: Volume: Page:593-634
  • ISSN:
  • Container-title:Cognitive Radio Technology
  • language:
  • Short-container-title:

Author:

Spooner Chad M.,Nicholls Richard B.

Publisher

Elsevier

Reference51 articles.

1. Cognitive Radio Technology,2006

2. Notice of Proposed Rulemaking on Facilitating Opportunities for Cognitive Radio Technologies, FCC ET Docket No. 03–108, December 2003.

3. Notice of Inquiry and Notice of Proposed Rulemaking for Establishment of an Interference Metric, FCC ET Docket No. 03–237, November 2003.

4. Cognitive Radio: Brain-Empowered Wireless Communications;Haykin;IEEE Journal on Selected Areas in Communication,2005

5. Cognitive Radio: A Communications Engineering Perspective;Jondral;IEEE Wireless Communication,2007

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1. Enhanced Detectability Using Multi-Cycle Cyclostationary Detector in Cognitive Radio;International Journal of Electronics, Communications, and Measurement Engineering;2022-04-29

2. Efficient energy‐conservative dispersive transistor modelling using discrete‐time convolution and artificial neural networks;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2021-05-29

3. Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues;Journal of Network and Computer Applications;2019-10

4. Compressive cyclostationary spectrum sensing with a constant false alarm rate;EURASIP Journal on Wireless Communications and Networking;2017-08-03

5. Quantified Dynamic Spectrum Access Paradigm;Spectrum Access and Management for Cognitive Radio Networks;2016-09-17
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