DocumentCode :
3227263
Title :
Wavelet packet entropy based spectrum sensing in cognitive radio
Author :
Jiang, Zi-Long ; Zhang, Qin-yu ; Wang, Ye ; Shang, Xue-Quan
Author_Institution :
Shenzhen Grad. Sch., Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Shenzhen, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
293
Lastpage :
298
Abstract :
Cognitive radio (CR) is viewed as a promising approach to improving the utilization of the radio spectrum. It is a wireless communication technology, which has the capability of sensing and utilizing the underutilized spectrum resources. Recognizing idle spectrum efficiently is a key function for cognitive radio (CR) and requires high precision and fast signal processing technique. Sensitivity to noise uncertainty is limitation of current spectrum sensing strategies in CR networks. In this paper, a wavelet packet entropy based algorithm for detection of primary users in cognitive radio networks is proposed. In proposed algorithm, the presence of primary user can be examined by comparing the estimated wavelet packet entropy of signal to a threshold. Simulation results show that the proposed algorithm is robust against noise uncertainty; the normalized wavelet packet energy vector which carries important information on the frequency locations of subbands can estimate spectrum holes in the signal spectrum with simple structure and low computational complexity comparing to the conventional schemes. In addition, the proposed method does not need any prior knowledge of primary signal and noise energy level.
Keywords :
cognitive radio; signal processing; wavelet transforms; cognitive radio; idle spectrum recognition; low computational complexity; normalized wavelet packet energy vector; primary signal; primary user detection; radio spectrum; signal processing technique; spectrum hole estimation; spectrum sensing strategy; underutilized spectrum resources; wavelet packet entropy based algorithm; wireless communication technology; Frequency synchronization; cognitive radio; noise uncertainty; spectrum holes; spectrum sensing; wavelet packet entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6014054
Filename :
6014054
Link To Document :
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