Efficient and low complexity modulation classification algorithm for MIMO systems

This study develops a feature-based Automatic Modulation Classification (AMC) algorithm for spatially multiplexed Multiple-Input Multiple-Output (MIMO) systems employing two Higher Order Cumulants (HOCs) of the estimated transmit signal streams as discriminating features and a multiclass Support Vec...

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Main Authors: Bahloul, M.R., Yusoff, M.Z., Saad, M.N.M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.26117 /
Published: Maxwell Science Publications 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925441407&doi=10.19026%2frjaset.9.1377&partnerID=40&md5=c4fbc4a2250a14e7d9e059e90cfb4a04
http://eprints.utp.edu.my/26117/
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spelling utp-eprints.261172021-08-30T08:52:58Z Efficient and low complexity modulation classification algorithm for MIMO systems Bahloul, M.R. Yusoff, M.Z. Saad, M.N.M. This study develops a feature-based Automatic Modulation Classification (AMC) algorithm for spatially multiplexed Multiple-Input Multiple-Output (MIMO) systems employing two Higher Order Cumulants (HOCs) of the estimated transmit signal streams as discriminating features and a multiclass Support Vector Machine (SVM) as a classification system. The algorithm under study has the capability to recognize a wide range of modulation schemes without any prior information about the channel state. The classification performance of the proposed algorithm was evaluated via extensive simulations under different operating conditions and was also compared with the one obtained with the optimal Hybrid Likelihood Ratio Test (HLRT) approach. The results show that the proposed algorithm is capable of classifying the considered modulation schemes with good classification accuracy and can achieve performance comparable to that of the HLRT approach while having a significantly lower computational complexity. © Maxwell Scientific Organization, 2015. Maxwell Science Publications 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925441407&doi=10.19026%2frjaset.9.1377&partnerID=40&md5=c4fbc4a2250a14e7d9e059e90cfb4a04 Bahloul, M.R. and Yusoff, M.Z. and Saad, M.N.M. (2015) Efficient and low complexity modulation classification algorithm for MIMO systems. Research Journal of Applied Sciences, Engineering and Technology, 9 (1). pp. 58-64. http://eprints.utp.edu.my/26117/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This study develops a feature-based Automatic Modulation Classification (AMC) algorithm for spatially multiplexed Multiple-Input Multiple-Output (MIMO) systems employing two Higher Order Cumulants (HOCs) of the estimated transmit signal streams as discriminating features and a multiclass Support Vector Machine (SVM) as a classification system. The algorithm under study has the capability to recognize a wide range of modulation schemes without any prior information about the channel state. The classification performance of the proposed algorithm was evaluated via extensive simulations under different operating conditions and was also compared with the one obtained with the optimal Hybrid Likelihood Ratio Test (HLRT) approach. The results show that the proposed algorithm is capable of classifying the considered modulation schemes with good classification accuracy and can achieve performance comparable to that of the HLRT approach while having a significantly lower computational complexity. © Maxwell Scientific Organization, 2015.
format Article
author Bahloul, M.R.
Yusoff, M.Z.
Saad, M.N.M.
spellingShingle Bahloul, M.R.
Yusoff, M.Z.
Saad, M.N.M.
Efficient and low complexity modulation classification algorithm for MIMO systems
author_sort Bahloul, M.R.
title Efficient and low complexity modulation classification algorithm for MIMO systems
title_short Efficient and low complexity modulation classification algorithm for MIMO systems
title_full Efficient and low complexity modulation classification algorithm for MIMO systems
title_fullStr Efficient and low complexity modulation classification algorithm for MIMO systems
title_full_unstemmed Efficient and low complexity modulation classification algorithm for MIMO systems
title_sort efficient and low complexity modulation classification algorithm for mimo systems
publisher Maxwell Science Publications
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925441407&doi=10.19026%2frjaset.9.1377&partnerID=40&md5=c4fbc4a2250a14e7d9e059e90cfb4a04
http://eprints.utp.edu.my/26117/
_version_ 1741197085976297472
score 11.62408

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