Modulation classification for MIMO systems: State of the art and research directions

Mohammad Rida Bahloul, Mohd Zuki Yusoff, Abdel-Haleem Abdel-Aty, M. Naufal M. Saad and Marwan Al-Jemeli

Chaos, Solitons & Fractals, 2016, vol. 89, issue C, 497-505

Abstract: 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.

Keywords: Modulation classification; Multiple-Input Multiple-Output; Statistical features; Pattern recognition (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:89:y:2016:i:c:p:497-505

DOI: 10.1016/j.chaos.2016.02.029

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