• DocumentCode
    337004
  • Title

    Adaptive space-frequency RAKE receivers for WCDMA

  • Author

    Brunner, Christopher ; Haardt, Martin ; Nossek, Josef A.

  • Author_Institution
    Siemens AG, Munich, Germany
  • Volume
    4
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    2383
  • Abstract
    Adaptive space-frequency RAKE receivers use maximum ratio combining and multi-user interference suppression to obtain a considerable increase in performance in DS-CDMA systems such as WCDMA. To this end, the signal-plus-interference-and-noise and the interference-plus-noise space-time covariance matrices are estimated. The computational complexity is reduced significantly by transforming the covariance matrices into the space-frequency domain and by omitting noisy space-frequency bins. The optimum weight vector for symbol decisions is the “largest” generalized eigenvector of the resulting matrix pencil. By iteratively updating the optimum weight vector slot by slot, real-time applicability becomes feasible while the fast fading is still tracked. The performance and the computational complexity depend on the number of space-frequency bins, antenna elements, and iterations. Therefore, the performance can easily be scaled with respect to the available computational power
  • Keywords
    adaptive antenna arrays; code division multiple access; computational complexity; covariance matrices; eigenvalues and eigenfunctions; fading channels; interference suppression; land mobile radio; multipath channels; multiuser channels; radio links; radio receivers; radiofrequency interference; spread spectrum communication; DS-CDMA systems; WCDMA; adaptive space-frequency RAKE receivers; antenna elements; computational complexity; fast fading; generalized eigenvector; interference-plus-noise; iterations; matrix pencil; maximum ratio combining; mobile radio channel; multi-user interference suppression; multipath channel; noisy space-frequency bins; optimum weight vector; performance; signal-plus-interference-and-noise; space-frequency domain; space-time covariance matrices; symbol decisions; Adaptive arrays; Computational complexity; Covariance matrix; Fading; Frequency; Interference suppression; Mobile antennas; Multiaccess communication; Multipath channels; Power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.758418
  • Filename
    758418