An analytical characterization of maximum likelihood signal-to-noise ratio estimation

被引：13

作者：

Cioni, S ^{[1
]}

Corazza, GE ^{[1
]}

Bousquet, M ^{[1
]}

机构：

[1] Univ Bologna, DEIS ARCES, I-40136 Bologna, Italy

来源：

2nd International Symposium on Wireless Communications Systems 2005 (ISWCS 2005) | 2005年

关键词：

SNR estimation; X-2-distribution; F-distribution; Cramer-Rao bound;

D O I：

10.1109/ISWCS.2005.1547825

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this work, the maximum-likelihood estimation of the signal-to-noise ratio is analytically characterized. In particular, the useful and the noise power are modelled by a chi(2)-distribution, whereas the resulting signal-to-noise ratio is described in terms of a non-central F-distribution. In addition, to better evaluate the estimator efficiency, the Cramer-Rao bound is computed. Finally, in order to completely verify the analytical characterization, the transmit-receive chain has been simulated, and the numerical results are compared to the analytical formulas.

引用

页码：827 / 830

页数：4