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

fYear

2011

fDate

18-20 April 2011

Firstpage

230

Lastpage

233

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Mobile Computing (CMC), 2011 Third International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-61284-312-4

Type

conf

DOI

10.1109/CMC.2011.98

Filename

5931178