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
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;
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
DOI :
10.1109/ChinaCom.2012.6417502
