EigenInference for Energy Estimation of Multiple Sources
Abstract
In this paper, a new method is introduced to blindly estimate the transmit power of multiple signal sources in multiantenna 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.
 Publication:

arXiv eprints
 Pub Date:
 January 2010
 arXiv:
 arXiv:1001.3934
 Bibcode:
 2010arXiv1001.3934C
 Keywords:

 Computer Science  Information Theory
 EPrint:
 to appear in IEEE Trans. on Information Theory, 17 pages, 13 figures