• DocumentCode
    2889307
  • Title

    Estimation of channel parameters using iterative least squares approach for W-CDMA and UWB systems

  • Author

    Balakrishnan, Raja D. ; Kwon, Hyuck M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wichita State Univ., KS, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    9-12 Nov. 2003
  • Firstpage
    1254
  • Abstract
    This paper proposes a new blind method to estimate the channel parameters such as the direction-of-arrival (DOA) and multipath time-of-arrival (TOA) for a communication system. We employ mathematical inverse problem techniques to find the solution. We specify an appropriate physical model to explain the received signal and reformulate the nonlinear estimation problem into a linear least squares problem. We then apply conjugate gradients (CG) iterations on the resulting normal equations (NE) to obtain the solution. We demonstrate our method for a W-CDMA system and extend the methods to an ultra-wideband (UWB) system. We also present a method for multiuser detection (MUD).
  • Keywords
    broadband networks; channel estimation; code division multiple access; direction-of-arrival estimation; inverse problems; least squares approximations; multipath channels; multiuser detection; spread spectrum communication; DOA estimation; UWB system; W-CDMA; blind method; channel parameter estimation; conjugate gradients iteration; direction-of-arrival; inverse problem technique; iterative least squares approach; multipath time-of-arrival; multiuser detection; nonlinear estimation problem; normal equation; received signal; Character generation; Direction of arrival estimation; Inverse problems; Iterative methods; Least squares approximation; Multiaccess communication; Multiuser detection; Nonlinear equations; Parameter estimation; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
  • Print_ISBN
    0-7803-8104-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2003.1292190
  • Filename
    1292190