A Robust Higher-order Cyclic Cumulants Feature-based Vector for QAM Classification

被引：0
|
作者：
Jayatunga, E. H. [1 ]
Dobre, O. A. [2 ]
机构：
[1] Univ Ruhuna, Galle, Sri Lanka
[2] Mem Univ Newfoundland, St John, NF, Canada
来源：
2014 9TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS & DIGITAL SIGNAL PROCESSING (CSNDSP) | 2014年
关键词：
Carrier frequency offset; Cyclic cumulant; Phase noise; Probability of correct classification; QAM;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this paper is to investigate performance of quadrature amplitude modulation (QAM) signals with higher order cyclic cumulants (CCs) under probability of correct classification (Pcc) measurement within a pattern recognition framework. The theoretical and simulation results are shown by choosing the feature vector, a combination of fourth and sixth order CCs. A comparison is also made with Pcc values by choosing fourth order CC alone. More importantly, the combination feature vector we have selected is robust to phase noise (PN) influence and carrier frequency offset.
引用
收藏
页码：417 / 421
页数：5
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