Non-Data-Aided SNR Estimation for Multiple Antenna Systems

被引：0

作者：

Mohammadkarimi, Mostafa ^{[1
]}

Dobre, Octavia A. ^{[1
]}

Win, Moe Z. ^{[2
]}

机构：

[1] Mem Univ, St John, NF, Canada

[2] MIT, Cambridge, MA 02139 USA

来源：

2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2016年

关键词：

SNR; non-data aided; multiple antenna; time-varying fading channel; fourth-order moment; sixth-order moment; time diversity; MULTILEVEL CONSTELLATIONS; 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：

Two new non-data-aided (NDA) signal-to-noise ratio (SNR) estimators for multiple antenna systems are presented. The proposed estimators rely on higher-order moments of the received signal and employ the time-diversity of the fading channel. While one requires a priori knowledge about the number of transmit antennas, the other estimates the SNR without such knowledge. The performance of the proposed estimators is evaluated for different numbers of transmit antennas and over a wide SNR range. Experimental results show that the proposed estimators exhibit a good performance, over a wide range of SNRs, in terms of normalized-root-mean-square-error (NRMSE) with small bias.

引用

页数：5

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