Low Complexity SNR Estimation for Linear Modulations on AWGN Channel

被引：0
作者：
Yan, Chaoxing [1 ]
Wang, Hua [1 ]
Wu, Nan [1 ]
Kuang, Jingming [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2012年
关键词：
SNR estimation; AWGN; linear modulations; mean square error;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we propose a novel signal-to-noise ratio (SNR) estimation method for linear modulations on additive white Gaussian noise (AWGN) channel. It estimates noise power directly without estimating the received total power. The estimation mean and mean square error (MSE) are analyzed theoretically and verified by simulations. Results show that the proposed SNR estimator performs better at low SNR than the conventional estimators while it suffers a little degradation at high SNR. Moreover, the proposed estimator can be implemented with less real multiplications than the conventional ones.
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页数：5
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