Eigen-Inference for Energy Estimation of Multiple Sources

Details Eigen-Inference for Energy Estimation of Multiple Sources Eigen-Inference for Energy Estimation of Multiple Sources

2010-01-22

arxiv.org/abs/1001.3934v4

Computer Science

Information Theory

to appear in IEEE Trans. on Information Theory, 17 pages, 13 figures

Scientific paper

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.

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