Paper Info
Title
Blind Digital Modulation Identification for Spatially-Correlated MIMO Systems
Abstract
Modulation type is one of the most important characteristics used in signal waveform identification and classification. Spatial correlation is a crucial factor for practical multiple-input multiple-output (MIMO) systems. This paper addresses the problem of blind digital modulation identification in spatially-correlated MIMO systems. The proposed algorithm is verified using higher order statistical moments and cumulants of the received signal. The purpose is to discriminate among different M-ary shift keying linear modulation schemes without any priori signal information. This study employs several MIMO techniques to identify the modulation with and without channel state information (CSI). The proposed classifier shows a high identification performance in acceptable signal-to-noise ratio (SNR) range.
Year
DOI
Venue
2012
10.1109/TWC.2011.122211.110236
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
MIMO communication,correlation methods,higher order statistics,modulation,signal classification,M-ary shift keying linear modulation schemes,blind digital modulation identification,channel state information,cumulants,higher order statistical moments,multiple-input multiple-output systems,received signal,signal classification,signal waveform identification,signal-to-noise ratio,spatially-correlated MIMO systems,Higher order statistics,modulation identification,multiple-input multiple-output systems,spatial correlation
Spatial correlation,Quadrature amplitude modulation,Control theory,Keying,Higher-order statistics,Signal-to-noise ratio,MIMO,Algorithm,Modulation,Real-time computing,Mathematics,Channel state information
Journal
Volume
Issue
ISSN
11
2
1536-1276
Citations 
PageRank 
References 
28
1.15
13
Authors
4
Name
Order
Citations
PageRank
K. Hassan1663.26
I. Dayoub2725.86
Hamouda, W.3392.55
C. Nsiala Nzeza4352.43