Title :
Eigen-inference for multi-source power estimation
Author :
Couillet, Romain ; Silverstein, Jack W. ; Debbah, Mérouane
Author_Institution :
ST-Ericsson, Supelec, Sophia Antipolis, France
Abstract :
This paper introduces a new method to estimate the power transmitted by multiple signal sources, when the number of sensing devices and the available samples are sufficiently large compared to the number of sources. This work makes use of recent advances in the field of random matrix theory that prove more efficient than previous “moment-based” approaches to the problem of multi-source power detection. Simulations are performed which corroborate the theoretical claims.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; radio networks; signal sources; eigen-inference; matrix theory; multi-source power detection; multi-source power estimation; multiple signal sources; power transmission; Covariance matrix; Eigenvalues and eigenfunctions; Interference; Lifting equipment; Mathematics; Receiving antennas; State estimation; Transmitters; Transmitting antennas; Wireless networks;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513327