relation: https://khub.utp.edu.my/scholars/7266/
title: Modulation classification for MIMO systems: State of the art and research directions
creator: Bahloul, M.R.
creator: Yusoff, M.Z.
creator: Abdel-Aty, A.-H.
creator: Saad, M.N.M.
creator: Al-Jemeli, M.
description: Blind techniques and algorithms for Multiple-Input Multiple-Output (MIMO) signals interception have recently attracted a great deal of research efforts. This is due to their important applications in the military and civil telecommunications domains. One essential step in the signal interception process is to blindly recognize the modulation scheme of the MIMO signals. This process is formally called Modulation Classification (MC). This paper discusses the modulation classification for MIMO systems and presents a comprehensive and critical literature review of the existing MC algorithms for MIMO systems; where possible, gaps in the knowledge base are identified and future directions for the research work are suggested. © 2016 Elsevier Ltd
publisher: Elsevier Ltd
date: 2016
type: Article
type: PeerReviewed
identifier:   Bahloul, M.R. and Yusoff, M.Z. and Abdel-Aty, A.-H. and Saad, M.N.M. and Al-Jemeli, M.  (2016) Modulation classification for MIMO systems: State of the art and research directions.  Chaos, Solitons and Fractals, 89.  pp. 497-505.  ISSN 09600779     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962159527&doi=10.1016%2fj.chaos.2016.02.029&partnerID=40&md5=e9f04ca974108df7288c1e23603b2300
relation: 10.1016/j.chaos.2016.02.029
identifier: 10.1016/j.chaos.2016.02.029