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

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


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 languageBritish English
Pages (from-to)594-599
Number of pages6
JournalProceedings - IEEE Symposium on Computers and Communications
StatePublished - 2004
EventProceedings - ISCC 2004, Ninth International Symposium on Computers and Communications - Alexandria, Egypt
Duration: 28 Jun 20041 Jul 2004


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