• DocumentCode
    2145169
  • Title

    Frame-oriented channel estimation for UTRA/FDD with LSE polynomial fitting

  • Author

    Popper, Ambroise ; Ani, Elie Bejj ; de Cacqueray, Benoît ; Bouquier, Jean-François ; Jeschke, Michael

  • Author_Institution
    Corp. Res. Center, Alcatel, Nanterre, France
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2128
  • Abstract
    Channel estimation is a crucial issue in CDMA systems and especially for UTRA/FDD. Many techniques have been proposed to perform enhanced channel estimation, in particular WMSA (weighted multi-slot averaging). This technique yields very satisfactory results, but it is not able to adapt to the speed of channel variations. We propose a frame-by-frame estimation technique. It determines a polynomial function fitting the noisy channel estimates in a least squares sense. Moreover it is able to adaptively choose the degree of the polynomial depending on the speed of channel variations. The obtained results show an SNR improvement up to 1 dB with respect to WMSA
  • Keywords
    adaptive systems; cellular radio; code division multiple access; least squares approximations; multipath channels; multiuser channels; noise; parameter estimation; polynomials; CDMA systems; LSE polynomial fitting; SNR improvement; UTRA/FDD; adaptive polynomial fitting; channel variations speed; frame-oriented channel estimation; least squares method; multipath channel; noisy channel estimates; polynomial function; third generation cellular mobile radio; weighted multi-slot averaging; Bit error rate; Channel estimation; Filtering; Land mobile radio; Least squares approximation; Low pass filters; Neodymium; Polynomials; RAKE receivers; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
  • Conference_Location
    Tokyo
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-5718-3
  • Type

    conf

  • DOI
    10.1109/VETECS.2000.851648
  • Filename
    851648