Blind Radio Mobile Channel Estimation and Identification

被引：0

作者：

Elkassimi, Said ^{[1
]}

Safi, Said ^{[1
]}

Manaut, Bouzid ^{[2
]}

机构：

[1] Sultan Moulay Slimane Univ, Polydisciplinary Fac, Dept Math & Informat, Beni Mellal, Morocco

[2] Sultan Moulay Slimane Univ, Polydisciplinary Fac, Dept Phys, Beni Mellal, Morocco

来源：

2017 14TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION (CGIV 2017) | 2017年

关键词：

blind algorithms; cumulant algorithms; radio mobile channel; MSE; SNR; QPSK; HIGHER-ORDER CUMULANTS; STATISTICS;

D O I：

10.1109/CGiV.2017.23

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper resolves the problem of radio mobile channel estimation and identification by blind algorithms. For this reason, we have proposed two algorithms, which are compared with two other algorithms that are based on cumulant.The simulation results show that the proposed algorithms gives an efficient estimation and identification to radio mobile channel regarding cumulant algorithms. this study is done in noisy environment and for different SNR values with QPSK or 4QAM modulation.

引用

页码：27 / 33

页数：7

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