%0 Journal Article
%T New Performance Optimization Approach for Cognitive Radio Energy Detection
%A Patrick Dany Bavoua Kenfack
%A Fabrice Kwefeu Mbakop
%A Thomas dĄŻAquin Biyindi
%J Open Access Library Journal
%V 7
%N 7
%P 1-11
%@ 2333-9721
%D 2020
%I Open Access Library
%R 10.4236/oalib.1106316
%X 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.
%K Cognitive Radio
%K Spectrum Sensing
%K Energy Detection
%K Probability of Detection (Pd)
%K Probability of False Alarm (Pfa)
%K Receiver Operating Characteristics (ROC)
%K Python Pandas Library
%U http://www.oalib.com/paper/5433574