Adaptive decision feedback channel estimation with periodic phase correction for frequency-domain equalization in DS-CDMA mobile radios

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Recently, the decision feedback channel estimation based on the minimum mean square error criterion (DF-MMSE-CE) using a fixed DF filter coefficient has been proposed to improve the channel estimation accuracy for DS-CDMA with frequency-domain equalization (FDE). In this paper, we propose adaptive DF (ADF)-MMSE-CE, in which the DF filter coefficient is adapted to changing channel conditions based on a recursive least square (RLS) algorithm. Furthermore, the channel estimate is phase corrected upon the reception of the periodically inserted pilot chip blocks. The average BER performance of DS-CDMA with MMSE-FDE using ADF-MMSE-CE is evaluated by computer simulation in a frequencyselective Rayleigh fading channel and the simulation results show that our proposed scheme is very robust against fast fading.

Original languageEnglish
Pages (from-to)1997-2005
Number of pages9
JournalIEICE Transactions on Communications
VolumeE90-B
Issue number8
DOIs
Publication statusPublished - 2007 Aug

Keywords

  • Adaptive decision feedback
  • Channel estimation
  • DS-CDMA
  • Frequency-domain equalization

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Adaptive decision feedback channel estimation with periodic phase correction for frequency-domain equalization in DS-CDMA mobile radios'. Together they form a unique fingerprint.

Cite this