DocumentCode
3061174
Title
Eigen-inference for multi-source power estimation
Author
Couillet, Romain ; Silverstein, Jack W. ; Debbah, Mérouane
Author_Institution
ST-Ericsson, Supelec, Sophia Antipolis, France
fYear
2010
fDate
13-18 June 2010
Firstpage
1673
Lastpage
1677
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISIT.2010.5513327
Filename
5513327
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