Title :
A New Time-domain Detection Approach with Blind Separation Based on Neural Network
Author :
Li, Guan Nan ; Feng Zheng ; Yang, Li ; Zhang, Ning
Author_Institution :
PLA Commun. & Command Inst., Wuhan, China
Abstract :
In this paper a new technique is proposed for time-domain detection in energy detection. The proposed scheme is based on a independent-component analysis (ICA): blind separation of unknown source signals. This method not only improves the nicety of time-domain detection for narrow band signal and the sinusoidal signal but also reduces the power of the whole detection system.
Keywords :
blind source separation; independent component analysis; neural nets; blind separation; energy detection; independent-component analysis; narrow band signal; neural network; sinusoidal signal; time-domain detection; Band pass filters; Cognitive radio; Detectors; Independent component analysis; Leak detection; Narrowband; Neural networks; Programmable logic arrays; Signal analysis; Time domain analysis; ICA; blind separation; detection;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.30
