Closely spaced multipath channel estimation in CDMA networks using divided difference filter

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

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

Abstract

We investigate time delay and channel gain estimation for multipath fading code division multiple access (CDMA) signals using the second order divided difference filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the DDF achieves better performance than its linear counterparts. The DDF, which is a derivative-free Kalman filtering approach, avoids the errors associated with linearization in the conventional extended Kalman filter (EKF). The numerical results also show that the proposed DDF is simpler to implement, and more resilient to near-far interference in CDMA networks and is able to track closly spaced paths.

Original languageEnglish
Title of host publicationCommunication and Networking
Subtitle of host publicationInternational Conference, FGCN/ACN 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Pro
EditorsDominik Slezak, Tai-hoon Kim, Alan Chin-Chen Chang, Thanos Vasilakos, MingChu Li, Kouichi Sakurai
Pages634-644
Number of pages11
DOIs
StatePublished - 2009

Publication series

NameCommunications in Computer and Information Science
Volume56
ISSN (Print)1865-0929

Keywords

  • CDMA Channel Estimation
  • Closely spaced multipaths
  • Kalman filters
  • Multiple access Interference
  • Non-linear filtering

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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