• DocumentCode
    1106250
  • Title

    Adaptive parameter estimation using parallel Kalman filtering for spread spectrum code and Doppler tracking

  • Author

    Iltis, Ronald A.

  • Volume
    42
  • Issue
    6
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    2227
  • Lastpage
    2230
  • Abstract
    We present a new digital direct-sequence (DS) receiver with joint estimation of code delay, multipath gains and Doppler shift. A parameter estimator consisting of a parallel bank of extended Kalman filters (EKF´s) extracts estimates of the timing, τ and the multipath coefficients, fl distorting the received signal. A “detected” estimate of the Doppler shift, vr distorting the received signal is also provided by the estimator. We compute the bit error rate that results when a RAKE matched filter uses the estimated parameters to detect the DPSK encoded binary data in the received signal. The bit-error rate (BER) is evaluated, and successful performance of the proposed receiver in the presence of Doppler shift distortion is observed in many cases. We demonstrate that the receiver can operate when the multipath coefficients vary in time (Doppler spread)
  • Keywords
    Doppler effect; Kalman filters; adaptive filters; coding errors; matched filters; parameter estimation; phase shift keying; radio receivers; spread spectrum communication; BER; DPSK encoded binary data; Doppler shift distortion; Doppler spread; Doppler tracking; RAKE matched filter; adaptive parameter estimation; bit error rate; code delay; digital direct-sequence receiver; extended Kalman filters; joint estimation; multipath coefficients; multipath gains; parallel Kalman filtering; received signal; spread spectrum code; timing; Adaptive filters; Bit error rate; Delay estimation; Distortion; Doppler shift; Filtering; Kalman filters; Parameter estimation; RAKE receivers; Timing;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.293672
  • Filename
    293672