Parallel decentralized network for the detection of unknown signals through wireless nakagami fading channels

Authors:
Ebtehal H. El-Bahaie;Emad K. Al-Hussaini
Affiliations:
Electronics and Communications Engineering Department, Misr International University, Cairo, Egypt;Electronics and Communications Department, Faculty of Engineering, Cairo University, Giza, Egypt
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2010

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Abstract

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.