Estimation of the Ricean K-Factor from Noisy Complex Channel Coefficients

被引：0

作者：

Leturc, Xavier ^{[1
]}

Ciblat, Philippe ^{[2
]}

Le Martret, Christophe J. ^{[1
]}

机构：

[1] Thales Commun & Secur, Venissieux, France

[2] Telecom ParisTech, Inst MinesTelecom, Paris, France

来源：

2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | 2016年

关键词：

MAXIMUM-LIKELIHOOD-ESTIMATION; URBAN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The estimation of the Ricean K factor in case of noisy complex channel coefficients is addressed. A new deterministic estimator is designed, and the relevant deterministic CramerRao Lower Bound (CRLB) is derived. It is shown by simulation that the new estimator outperforms the existing ones in term of both bias and Normalized Mean Square Error (NMSE), and is close to the CRLB. We also design two Bayesian estimators, which outperform the deterministic ones and are robust to small sample size (<= 3 0 samples), but as a drawback are more complex.

引用

页码：1092 / 1096

页数：5

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