Blind Digital Modulation Identification for Spatially-Correlated MIMO Systems

Author

Hassan, Kais ; Dayoub, Iyad ; Hamouda, Walaa ; Nzéza, Crépin Nsiala ; Berbineau, Marion

Author_Institution

IFSTTAR, Univ. Lille Nord de France, Villeneuve d´´Ascq, France

Volume

11

Issue

2

fYear

2012

fDate

2/1/2012 12:00:00 AM

Firstpage

683

Lastpage

693

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.

Keywords

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; Correlation; Feature extraction; MIMO; Modulation; Signal processing algorithms; Signal to noise ratio; Vectors; Higher order statistics; modulation identification; multiple-input multiple-output systems; spatial correlation;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2011.122211.110236

Filename

6117042