TY - JOUR 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 PB - Elsevier Ltd SP - 497 N1 - cited By 15 A1 - Bahloul, M.R. A1 - Yusoff, M.Z. A1 - Abdel-Aty, A.-H. A1 - Saad, M.N.M. A1 - Al-Jemeli, M. Y1 - 2016/// TI - Modulation classification for MIMO systems: State of the art and research directions SN - 09600779 ID - scholars7266 AV - none VL - 89 JF - Chaos, Solitons and Fractals 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 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 EP - 505 ER -