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