SNR ESTIMATION VIA OVERSAMPLING FOR SIMO COMMUNCATIONS WITH LINEAR MODULATION

被引：0
|
作者：
Chang, Liang [1 ]
Li, Geoffrey Ye [2 ]
Li, Jingchun [1 ]
机构：
[1] State Radio Monitoring Ctr, Beijing 100037, Peoples R China
[2] Georgia Inst Technol, Sch ECE, Atlanta, GA 30332 USA
来源：
2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年
关键词：
SNR; estimation; SIMO; modulation; MULTILEVEL CONSTELLATIONS; CHANNELS; SIGNALS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
It is required to accurately estimate signal-to-noise ratio (SNR) without the a priori knowledge of modulation types and transmitted symbols in certain areas of communications. In this paper, we propose second-order and fourth-order statistics based estimators by oversampling the received signal. The expressions of the estimators under different scenarios are derived. From computer simulation, both families of SNR estimators outperform the typical M4 estimator and are robust to phase and synchronization uncertainty. The superiority and feasibility of the proposed estimators make them suitable to non-cooperative communications networks.
引用
收藏
页码：586 / 590
页数：5
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