Semiblind estimation of time varying STFBC-OFDM channels using Kalman filter and CMA

Mohamed A.S. Hassan*, Bayan S. Sharif, Wai Lok Woo, Shihab Jimaa

*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

In multiple input multiple output systems (MIMO), the increase in the number of channel parameters, renders less reliable conventional training based schemes. For a reasonable performance, conventional training based methods require a larger number of training symbols which reduces system bandwidth efficiency. In this paper, a semiblind channel estimation and tracking technique is proposed for concatenated turbo codes (TC) with space-time and frequency block codes (STFBC) over time-varying Rayleigh fading channels. The paper describes an effective approach to reduce the number of training symbols to half by implementing the Kalman filter (KF) with the constant modulus algorithm (CMA). Computer simulations show good estimation and tracking by the Kalman filter and CMA with only few training symbols (less than 7 % of bandwidth efficiency loss) even when signals experience deep fades. The proposed method is shown to obtain fast channel estimation and tracking which is a requirement in fast fading channels.

Original languageEnglish
Title of host publicationProceedings. ISCC 2004. Ninth International Symposium on Computers And Communications
PublisherIEEE
Pages594-599
Number of pages6
Volume2
ISBN (Print)0-7803-8623-X
DOIs
Publication statusPublished - 22 Nov 2004
EventProceedings - ISCC 2004, Ninth International Symposium on Computers and Communications - Alexandria, Egypt
Duration: 28 Jun 20041 Jul 2004

Publication series

NameProceedings - International Symposium on Computers and Communications
PublisherIEEE
ISSN (Print)1530-1346

Conference

ConferenceProceedings - ISCC 2004, Ninth International Symposium on Computers and Communications
CountryEgypt
CityAlexandria
Period28/06/041/07/04

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