Bayesian-based iterative blind joint data detection, code delay and channel estimation for DS-CDMA systems in multipath environments

Erdoǧan Aydin*, Hakan Ali Cirpan

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This work proposes a novel iterative blind receiver to jointly estimate channel parameters and transmitted data sequence on the multipath fading channel in Direct Sequence Code Division Multiple Access (DS CDMA) systems. Since time delay of the transmission channel represents nonlinear characteristic, joint estimation of these parameters and data sequence is difficult for multipath fading channels. To derive of the proposed iterative method we used completely Bayesian approach and then, Sequential Monte Carlo (SMC) technique is adapted to proposed method.

Original languageEnglish
Title of host publicationIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference
Pages1413-1417
Number of pages5
DOIs
Publication statusPublished - 2011
Event7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011 - Istanbul, Turkey
Duration: 4 Jul 20118 Jul 2011

Publication series

NameIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference

Conference

Conference7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011
Country/TerritoryTurkey
CityIstanbul
Period4/07/118/07/11

Keywords

  • channel coefficient estimationmethodology
  • code delay
  • DS CDMA
  • importance sampling
  • joint symbol
  • sequential Monte Carlo

Fingerprint

Dive into the research topics of 'Bayesian-based iterative blind joint data detection, code delay and channel estimation for DS-CDMA systems in multipath environments'. Together they form a unique fingerprint.

Cite this