Open Access

Parallel Decentralized Network for the Detection of Unknown Signals Through Wireless Nakagami Fading Channels

EURASIP Journal on Advances in Signal Processing20102010:104273

Received: 15 October 2009

Accepted: 24 April 2010

Published: 27 May 2010


In this paper analytical and simulation results for the decentralized detection of unknown signals are introduced. Parallel sensor network scheme is assumed. Additive White Gaussian Noise (AWGN) and Nakagami fading are assumed in both links, that is, from the source to the decentralized local sensors and from the sensors to the fusion center. Furthermore, diversity employing Square Law Combining (SLC) or Square Law Selection (SLS) is considered at each sensor, for both independent and correlated branches. Appreciable improvements are obtained with the increase of the number of sensors and the diversity employment.


Information TechnologySensor NetworkQuantum InformationFading ChannelWhite Gaussian Noise

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Authors’ Affiliations

Electronics and Communications Engineering Department, Misr International University, Cairo, Egypt
Electronics and Communications Department, Faculty of Engineering, Cairo University, Giza, Egypt


© Ebtehal H. El-Bahaie and Emad K. Al-Hussaini. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.