Article citationsMore>>

Herath, S.P., Rajatheva, N. and Tellambura, C. (2011) Energy Dectection of Unknown Signals in Fading and Diversity Reception. IEEE Transactions on Communications, 59, 2443-2453.
https://doi.org/10.1109/TCOMM.2011.071111.090349

has been cited by the following article:

• TITLE: New Performance Optimization Approach for Cognitive Radio Energy Detection

  AUTHORS: Patrick Dany Bavoua Kenfack, Fabrice Kwefeu Mbakop, Thomas d’Aquin Biyindi

  KEYWORDS: Cognitive Radio, Spectrum Sensing, Energy Detection, Probability of Detection (Pd), Probability of False Alarm (Pfa), Receiver Operating Characteristics (ROC), Python Pandas Library

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.7, July 28, 2020

  ABSTRACT: In this paper, we put forward a new method to deal with energy detection low performance in cognitive radio, especially for small values of signal-to-noise ratio. The method is based on a statistical discrimination of received samples in order to improve probability of detection for a given probability of false alarm. We describe how we have determined discrimination criteria with python pandas library, for a signal-to-noise ratio SNR of 0.5 and a number of samples Ns of 128, assuming Gaussian distribution for noise and useful received signals.