DocumentCode :
2621582
Title :
Accurate blind spectrum sensing based on high order statistical analysis in cognitive radio system
Author :
Xu, Fangmin ; Hui, Junhong ; Zheng, Xufeng ; Zhou, Zheng
Author_Institution :
Beijing Samsung Telecom R&D Center, Beijing, China
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
386
Lastpage :
391
Abstract :
In cognitive radio system, the licensed spectrum resource that is not been used by the primary users could be reused opportunistically by the unlicensed secondary users. Spectrum sensing is the fundamental task in cognitive radio system for the secondary system should detect the available idle spectrum resource accurately and timely. Performance of traditional blind spectrum sensing is limited by the channel fading and noise uncertainty, especially under low SNR environment. Based on the Gaussian Noise suppression feature of high order statistical analysis, a novel spectrum sensing approach is provided based on the simplified Bispectrum slide analysis. Simulations have shown that our approach performs much better than the commonly used energy detector in noisy environment with little more complexity, and the sensing technology is quite appropriate to detect the wireless broadcast TV signal and wireless microphone signals under low SNR environment.
Keywords :
cognitive radio; fading channels; statistical analysis; Gaussian noise suppression; bispectrum slide analysis; blind spectrum sensing; channel fading; cognitive radio system; high order statistical analysis; noise uncertainty; unlicensed secondary users; wireless broadcast TV signal; wireless microphone signals; Appropriate technology; Cognitive radio; Detectors; Fading; Gaussian noise; Signal to noise ratio; Statistical analysis; Uncertainty; Wireless sensor networks; Working environment noise; Bispectrum Slide; Blind Spectrum Sensing; Cognitive Radio; High order statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4816-6
Electronic_ISBN :
978-1-4244-4817-3
Type :
conf
DOI :
10.1109/ICCOMTA.2009.5349172
Filename :
5349172
Link To Document :
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