Title :
A comparison of three classes of auto-correlation spectrum sensing techniques
Author :
Song, Han ; Jianxun, Lu ; Shu, Wang
Author_Institution :
Coll. of Inf. & Commun. Eng., Hua Zhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Spectrum sensing is the step stone of cognitive radios. There are several methods of detecting signals, among which the auto-correlation method is promising. In this paper, three classes of auto-correlation detection algorithms (signal matrix-based, signal vector-based, and signal function-based) are introduced and compared. The advantages and disadvantages of these algorithms are given also.
Keywords :
cognitive radio; correlation methods; signal detection; auto-correlation spectrum sensing; cognitive radio; signal detection; Autocorrelation; Chromium; Cognitive radio; Dispersion; Educational institutions; Interference; Marine vehicles; Research and development; Signal detection; Statistics; Spectrum sensing; auto-correlation; detection;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
DOI :
10.1109/ICACIA.2009.5361124
