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Channel tracking and equalization using Kalman estimation for MIMO systems in non-isotropic Ricean fading environment

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2 Author(s)
Kazmi, A.H. ; Dept. of Electron. Eng., Mohammad Ali Jinnah Univ., Islamabad, Pakistan ; Khan, N.M.

The problem of channel tracking and equalization for multi-input multi-output (MIMO) time-varying non isotropic Ricean fading channels is investigated. A Kalman filter based on high order autoregressive (AR) model with statistics closely matching those of the directional Ricean fading process is proposed to track channels variations. A finite-length MIMO minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE) is used to perform equalization task. The proposed algorithm works much better in tracking time varying inter-symbol interference (ISI) channels at the expense of high computational cost.

Published in:
Information and Emerging Technologies (ICIET), 2010 International Conference on

Date of Conference: 14-16 June 2010

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