Computer Science – Information Theory
Scientific paper
2010-01-22
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.
Bai Zhidong
Couillet Romain
Debbah Merouane
Silverstein Jack W.
No associations
LandOfFree
Eigen-Inference for Energy Estimation of Multiple Sources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Eigen-Inference for Energy Estimation of Multiple Sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Eigen-Inference for Energy Estimation of Multiple Sources will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-655375