Efficient and Reliable Modulation Classification for MIMO Systems

被引：0
|
作者：
Mohammad Rida Bahloul
Mohd Zuki Yusoff
Abdel-Haleem Abdel-Aty
Mohd Naufal Saad
Anis Laouiti
机构：
[1] Universiti Teknologi PETRONAS,Department of Electrical and Electronic Engineering, Centre for Intelligent Signal and Imaging Research (CISIR)
[2] Al-Azhar University,Physics Department, Faculty of Science
[3] Telecom Sud Paris,Department of Wireless Networks and Multimedia Services
来源：
Arabian Journal for Science and Engineering | 2017年 / 42卷
关键词：
5G; Modulation classification (MC); multiple-input multiple-output (MIMO); Next-generation communications; Soft-decision fusion; Higher-order statistics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, an efficient and reliable feature-fusion-based modulation classification (MC) algorithm for multiple-input multiple-output (MIMO) systems is developed. It uses two higher-order cumulants of the transmitted signal streams to classify a broad set of modulation types with no prior knowledge of the channel state information. We address the problem of the soft-decision fusion for the feature-fusion-based MC algorithms for MIMO systems and introduce an optimal soft-decision fusion scheme to find the classification result. The complexity order of the proposed MC algorithm is studied in detail to demonstrate its low computation cost, and its performance is validated extensively by simulation results to show its practical effectiveness.
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收藏
页码：5201 / 5209
页数：8
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