Spectrum Sensing in Cognitive Radio Using Combined Sequential Energy Detector and Cyclostationary Feature Detector

  • Santosh Poudel School of Electrical Engineering, Telkom University
  • Heroe Wijanto School of Electrical Engineering, Telkom University
  • Fiky Y. Suratman School of Electrical Engineering, Telkom University

Abstract

In the following research, we derive a detector which is based on sequential probability ratio test (SPRT) and it uses Energy Detector (ED) which is followed by Cyclostationary Feature Detector (CFD). ED is a blind sensing technique and it is easy to implement while conceptually simple. However, it is highly affected by interference and noise uncertainties. Therefore, CFD is applied for fine sensing as research has shown that Cyclostationary Feature Detector is more suitable than the energy detection when noise uncertainties are unknown. Our method is novel in trying to derive a sequential Energy Detector and combine it with Cyclostationary Feature Detector for low SNR region where average sample number (ASN) as a random variable may take very high value to achieve a desired performance level for sequential Energy Detector. For this sequential Energy Detector is terminated after it reaches certain cut-off sample number, making it truncated sequential Energy Detector.


 

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Published
2018-09-03
How to Cite
POUDEL, Santosh; WIJANTO, Heroe; SURATMAN, Fiky Y.. Spectrum Sensing in Cognitive Radio Using Combined Sequential Energy Detector and Cyclostationary Feature Detector. Journal of Measurements, Electronics, Communications, and Systems, [S.l.], v. 2, n. 1, p. 31-37, sep. 2018. ISSN 2477-7986. Available at: <http://journals.telkomuniversity.ac.id/jmecs/article/view/1487>. Date accessed: 15 nov. 2018. doi: https://doi.org/10.25124/jmecs.v2i1.1487.
Section
Signal Processing