Eigen-Inference for Energy Estimation of Multiple Sources

被引:29
作者
Couillet, Romain [1 ]
Silverstein, Jack W. [2 ]
Bai, Zhidong [3 ,4 ]
Debbah, Merouane [5 ]
机构
[1] SUPELEC, Cent Supelec EDF Chair Syst Sci & Energy Challeng, F-91192 Gif Sur Yvette, France
[2] N Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
[3] NE Normal Univ, KLAS MOE, Changchun 130024, Jilin, Peoples R China
[4] NE Normal Univ, Sch Math & Stat, Changchun 130024, Jilin, Peoples R China
[5] SUPELEC, Alcatel Lucent Chair Flexible Radio, F-91192 Gif Sur Yvette, France
基金
美国国家科学基金会;
关键词
Cognitive radio; G-estimation; power estimation; random matrix theory; statistical inference; LIMITING SPECTRAL DISTRIBUTION; EIGENVALUES;
D O I
10.1109/TIT.2011.2109990
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new method is introduced to blindly estimate the transmit power of multiple signal sources in multi-antenna fading channels, when the number of sensing devices and the number of available samples are sufficiently large compared to the number of sources. Recent advances in the field of large dimensional random matrix theory are used that result in a simple and computationally efficient consistent estimator of the power of each source. A criterion to determine the minimum number of sensors and the minimum number of samples required to achieve source separation is then introduced. Simulations are performed that corroborate the theoretical claims and show that the proposed power estimator largely outperforms alternative power inference techniques.
引用
收藏
页码:2420 / 2439
页数:20
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