• DocumentCode
    255823
  • Title

    Tracking of MIMO channel in the presence of unknown interference

  • Author

    Devi, M.V. ; Gowthami, K. ; Selvaganesan, N.

  • Author_Institution
    Dept. of Avionics, Indian Inst. of Space Sci. & Technol., Trivandrum, India
  • fYear
    2014
  • fDate
    11-13 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, Filtering based Recursive Least Square (F-RLS) algorithm is used to track the MIMO channel in the presence of spatially and temporally correlated interference. Here interference signal is considered as noise whose auto correlation function is a non-diagonal matrix(color noise). The LS technique gives biased estimate for color noise. So filtering based LS technique is used to give unbiased estimate for the above scenario. Considering the time varying nature of the system, filtering based RLS algorithm is used to track the channel. The tracking capability of this algorithm is measured in terms of Average Mean Square Error (MSE). Simulation result also supports the tracking capability of the algorithm for fixed channel and time varying channel in the presence of interference.
  • Keywords
    MIMO communication; filtering theory; mean square error methods; radiofrequency interference; MIMO channel tracking; MSE; auto correlation function; color noise; filtering based LS technique; filtering based recursive least square algorithm; interference signal; mean square error; spatially correlated interference; temporally correlated interference; time varying channel; Channel estimation; Interference; MIMO; Mathematical model; Receivers; Training; Vectors; Filtering based RLS; Interference channel; MIMO; RLS algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2014 Annual IEEE
  • Conference_Location
    Pune
  • Print_ISBN
    978-1-4799-5362-2
  • Type

    conf

  • DOI
    10.1109/INDICON.2014.7030653
  • Filename
    7030653