• DocumentCode
    1600600
  • Title

    Investigation of MIMO channel correlation and capacity based on partial embedded RF measurements

  • Author

    Jemmah, A. ; Kouki, A.B.

  • Author_Institution
    Dept. of Electr. Eng., Ecole de Technol. Super., Montreal, Que., Canada
  • Volume
    1
  • fYear
    2004
  • Firstpage
    531
  • Abstract
    In this paper, a technique for estimating the capacity and correlation of a MIMO channel is investigated by measuring complex signal ratios between receiver branches. The original channel matrix [H] is decomposed into a product of a diagonal matrix [D] and a matrix [G] of RF-measurable ratios of the H matrix elements. The RF measurements help provide partial channel estimation without computational overhead to the receiver. We present two RF measurement devices and discuss their implementation and interface to a MIMO receiver. Using Monte Carlo simulations, we show that the correlation properties of the original H matrix may be inferred from those of the G matrix thus leading to an indirect measurement of matrix channel correlation. Such information is very important for adaptive MIMO systems.
  • Keywords
    MIMO systems; Monte Carlo methods; adaptive signal processing; channel capacity; channel estimation; correlation methods; matrix decomposition; radio receivers; MIMO channel correlation; MIMO receiver; Monte Carlo simulations; adaptive MIMO systems; channel capacity; channel matrix; diagonal matrix; gain measurement; matrix channel correlation; matrix decomposition; partial channel estimation; partial embedded RF measurements; phase measurement; receiver branches complex signal ratios; Antenna measurements; Channel capacity; Channel estimation; Electric variables measurement; MIMO; Matrix decomposition; Radio frequency; Radio transmitters; Receiving antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2004. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8253-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2004.1345088
  • Filename
    1345088