Algorithm for blind identification of MQAM signals in Rayleigh fading channels

被引：0

作者：

Li, Yanling ^{[1
,2
]}

Li, Bingbing ^{[1
]}

Liu, Mingqian ^{[1
]}

机构：

[1] The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China

[2] School of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2012年 / 40卷 / 04期

关键词：

Anti-noise ability - Blind identifications - Classification rates - Feature parameters - Frequency offsets - Higher order cumulants - Modulation classification - Prior information;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

An algorithm for blind identifying MQAM (M-ary quadrture amplitude modulation) signals in Rayleigh fading channels was presented to classify MQAM signals easily. The method could classify MQAM signals using the feature parameter which were extracted from two-order, four-order and six-order cumulants without the prior information about received signals. Simulation results show that the classification rate reaches over 90% when SNR (signal-to-noise ratio) is 0 dB, and the algorithm has higher classification rate and better anti-noise ability than other methods. The robustness of the classifier to phase jitter and frequency offset is clearly apparent.

引用

页码：76 / 79