DocumentCode
3030751
Title
Measurement based study of improved spectrum sensing algorithm using sample covariance matrices
Author
Ming Jin ; Jiongtao Wang ; Youming Li ; Gang Wang ; Yang Gao
Author_Institution
Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
fYear
2012
fDate
8-10 Aug. 2012
Firstpage
334
Lastpage
337
Abstract
In this paper, an improved blind spectrum sensing algorithm which exploits primary signal correlation is investigated based on actual Digital Video Broadcasting (DTV) signal measurements. There is trade-off between the effectiveness and the complexity of spectrum sensing algorithms. Compared with the covariance absolute value (CAV) detection, the proposed one has better performance and almost the same computational complexity.
Keywords
computational complexity; covariance matrices; digital television; DTV signal measurements; blind spectrum sensing algorithm; computational complexity; covariance absolute value; digital video broadcasting; measurement based study; sample covariance matrices; spectrum sensing algorithms; Cognitive radio; Correlation; Covariance matrix; Detectors; Digital TV; Signal to noise ratio; Cognitive radio; correlation; measured data; spectrum sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on
Conference_Location
Kun Ming
Print_ISBN
978-1-4673-2698-8
Electronic_ISBN
978-1-4673-2697-1
Type
conf
DOI
10.1109/ChinaCom.2012.6417502
Filename
6417502
Link To Document