Higher-order statistics based modulation classification using hierarchical approach

Afan Ali, Yangyu Fan

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

Hierarchical based digital modulation classifier is designed using feature-extraction based method with AWGN channel. A characteristic parameter of the received information samples is used to separate between amplitude and angular modulated signals. M-ary ASK signals are separated using instantaneous amplitude of the received samples. Combination of higher-order cumulants up to order eight are computed to classify between M-ary PSK modulated signals. A new feature is proposed in the decision tree of the classifier to separate QPSK and 8PSK modulation. Simulation results are used to verify that this approach is robust under low SNR.

源语言英语
主期刊名Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
编辑Bing Xu
出版商Institute of Electrical and Electronics Engineers Inc.
370-374
页数5
ISBN(电子版)9781467396127
DOI
出版状态已出版 - 28 2月 2017
活动2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016 - Xi'an, 中国
期限: 3 10月 20165 10月 2016

出版系列

姓名Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016

会议

会议2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
国家/地区中国
Xi'an
时期3/10/165/10/16

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