DocumentCode :
2003098
Title :
A Novel Robust Detection Algorithm Using Jarqur-Bera Statistic for Spectrum Sensing
Author :
Lu, Lu ; Wu, Hsiao-Chun ; Iyengar, S.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, the DTV (digital television) spectrum sensing problem is studied, which plays a key role in the cognitive radio. In contrast to the existing higher-order-statistics (HOS) approach, we propose a novel robust spectrum-sensing method, which is based on the JB (Jarqur-Bera) statistic. In our new studies, the existing HOS spectrum sensing technique may often not be robust. Our proposed JB-statistic based detector has been justified to be superior for the simulated microphone signals as well as the real DTV signals.
Keywords :
cognitive radio; digital television; higher order statistics; signal detection; DTV; HOS approach; HOS spectrum sensing technique; Jarqur-Bera statistic; cognitive radio; digital television spectrum sensing problem; higher-order-statistics approach; robust detection algorithm; simulated microphone signals; spectrum sensing; Detectors; Digital TV; Microphones; Signal to noise ratio; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5684180
Filename :
5684180
Link To Document :
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