%0 Journal Article
%A CHANG Hui-gang
%A NI Shui-ping
%T Double-Threshold Joint Spectrum Sensing Based on Energy and Wavelet Transform
%D 2017
%R 10.13190/j.jbupt.2017.04.019
%J Journal of Beijing University of Posts and Telecommunications
%P 117-121
%V 40
%N 4
%X Considering that the traditional energy detection algorithm is sensitive to noise, the detection accuracy is easy to be affected in low signal-to-noise ratio (SNR) conditions, and that cyclostationary detection algorithm is high computing complexity, a double-threshold joint detection algorithm based on energy detection and wavelet transform (WT) sensing was proposed. When the decision statistic falls outside the double-threshold section, the energy detection is performed and the confused region is within the double-threshold for wavelet detection. Besides, the two thresholds can be adjusted adaptively according to noise uncertainty. When the channel quality is better, the distance of the two thresholds will be minished, otherwise the distance of the two thresholds will be larger, so as to control the probability of wavelet detection. Simulation shows that the proposed algorithm can improve the detection performance effectively under low SNR conditions, and reduces the complexity.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.04.019