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

被引：12
|
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
收藏
页码：827 / 830
页数：4
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