Comparison of derivative based and derivative free Kalman filters for multipath channel estimation in CDMA networks

  • Zahid Ali*
  • , Mohamed Adnan Landolsi
  • , Mohammad A. Deriche
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The paper compares time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the derivative based and derivative free Kalman filters. We will be investigating the performance of the derivative based Kalman filter namely Extended Kalman Filter (EKF) with the derivative free Sigma Point Kalman Filters (SPKF), namely the Unscented Kalman Filter (UKF) and the second order Divided Difference Filter (DDF). Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the SPKF achieves better performance than its linear counterparts. This derivativefree Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The simulation results also demonstrates that the proposed SPKF algorithms are simpler to implement, and more resilient to nearfar interference in CDMA networks.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
DOIs
StatePublished - 2009

Publication series

NameProceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Software
  • Communication

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