• DocumentCode
    2528333
  • Title

    Performance analysis of phasor estimation algorithms for a FDD-UMTS RAKE receiver

  • Author

    Baltersee, J. ; Fock, G. ; Schulz-Rittich, P. ; Meyr, H.

  • Author_Institution
    Integrated Signal Process. Syst., Aachen Univ. of Technol., Germany
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    476
  • Abstract
    The performance of phasor estimation algorithms for the UMTS RAKE receiver are analysed. Due to the need of covering a wide range of possible mobile speeds and spreading factors, two different algorithms are considered, namely a LMS-Kalman type algorithm, and a Wiener filter. The Wiener filter is considered both, as a predictor and a smother. It is shown that the simpler LMS-Kalman predictor is particularly suited for low mobile speeds and low spreading factors, whereas higher speeds and/or higher spreading factors require the usage of the more complex Wiener filter. Furthermore, the very high spreading factors (128-512) require the usage of the common pilot channel in order to facilitate smoothing instead of prediction
  • Keywords
    Kalman filters; Wiener filters; land mobile radio; least mean squares methods; multipath channels; phase estimation; radio receivers; smoothing methods; spread spectrum communication; FDD-UMTS RAKE receiver; LMS-Kalman predictor; LMS-Kalman type algorithm; UMTS radio channel; Wiener filter; common pilot channel; mobile speeds; multipath propagation; performance analysis; phasor estimation algorithms; smoothing; spreading factors; transmission model; 3G mobile communication; Algorithm design and analysis; Downlink; Fading; Multipath channels; Performance analysis; Propagation delay; RAKE receivers; Signal processing algorithms; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on
  • Conference_Location
    Parsippany, NJ
  • Print_ISBN
    0-7803-6560-7
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2000.876479
  • Filename
    876479