This paper presents an iterative (turbo) channel estimation and equalization when orthogonal frequency division multiplexing (OFDM) has been concatenated to space-time block code (STBC) over time-varying multipath Rayleigh fading channels. Based on Kalman filter channel estimator, soft-input-soft-output (SISO) minimum mean square error (MMSE) equalizer and a maximum posterior probability (MAP) decoder, both channel estimation and equalization can be improved for each iteration by using soft information feedback from the decoder. Computer simulations show good estimation and tracking by the Kalman filter with only a few training (pilot) symbols even when signals experience deep fading. The proposed method is shown to obtain fast channel estimation and low complexity iterative equalization which are requirements in time-varying fading channels.
|Title of host publication||Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications|
|Number of pages||5|
|Publication status||Published - 15 Feb 2006|
|Event||3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria|
Duration: 15 Feb 2006 → 17 Feb 2006
|Conference||3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications|
|Period||15/02/06 → 17/02/06|