Eigen-Inference for Energy Estimation of Multiple Sources

—This paper introduces a new method 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. This work makes use of recent advances in the field of large dimensional random matrix theory that result in a simple and computationally efficient consistent estimator of the power of each source. We provide a criterion to determine the minimum number of sensors and the minimum number of samples required to achieve source separation. Simulations are performed that corroborate the theoretical claims and show that the proposed power estimator largely outperforms alternative power inference techniques.

• Type: Journal
• Year: 2011
• Where: TIT
• Authors: Romain Couillet, Jack W. Silverstein, Zhidong Bai, Mérouane Debbah
• Keywords: Efficient Consistent Estimator, Minimum Number, Multiantenna Fading Channels, TIT 2011