Title :
Adaptive Double Threshold Energy Sensing Algorithm Based on Compressed Sensing over Wideband Frequency
Author :
Li, Chao ; Lv, Shoutao ; Liu, Jian
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In compressed sensing, sparse and compressible signals can be characterized at low sampling rate. In this paper, we focus on locating sub bands frequency adaptively over wideband frequency based on compressed sensing and wavelet edge detection. Based on this, double threshold energy detection of cooperative spectrum sensing is implemented. The analytical results indicate that this novel spectrum sensing algorithm has a good performance in finding spectrum holes adaptively while requiring less on A/D conversion. The simulation results show under proposed scheme, probability of detection improves while more CR users are involved.
Keywords :
cognitive radio; edge detection; probability; radio spectrum management; signal detection; signal sampling; wavelet transforms; cognitive radio; compressed sensing; compressible signals; cooperative spectrum sensing; double threshold energy detection; probability; signals sampling; sparse signals; wavelet edge detection; wideband frequency; Compressed sensing; Frequency domain analysis; Frequency modulation; Image edge detection; Sensors; Wavelet transforms; Wideband;
Conference_Titel :
Communications and Mobile Computing (CMC), 2011 Third International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-61284-312-4
DOI :
10.1109/CMC.2011.98
