• 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