TY  - JOUR
PB  - Elsevier Ltd
SN  - 09600779
EP  - 505
AV  - none
TI  - Modulation classification for MIMO systems: State of the art and research directions
SP  - 497
N1  - cited By 15
Y1  - 2016///
VL  - 89
A1  - Bahloul, M.R.
A1  - Yusoff, M.Z.
A1  - Abdel-Aty, A.-H.
A1  - Saad, M.N.M.
A1  - Al-Jemeli, M.
JF  - Chaos, Solitons and Fractals
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962159527&doi=10.1016%2fj.chaos.2016.02.029&partnerID=40&md5=e9f04ca974108df7288c1e23603b2300
ID  - scholars7266
KW  - Codes (symbols); Feedback control; Knowledge based systems; Military applications; MIMO systems; Pattern recognition; Telecommunication repeaters
KW  -  Blind technique; Literature reviews; Modulation classification; Modulation schemes; Research efforts; Signal interception; State of the art; Statistical features
KW  -  Modulation
N2  - 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
ER  -