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MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization

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2 Author(s)
Yau Hee Kho ; Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch ; Taylor, D.P.

This paper presents a multiple-input-multiple-output (MIMO) receiver design with integrated channel estimation and tracking for a time-varying frequency-selective Rician or Rayleigh fading environment. It first extends a polynomial-predictor-based channel estimation and tracking approach to a MIMO system. The structure and complexity of the estimator are similar to that of an optimum estimator using a Kalman filter, but it does not require a priori knowledge of the channel statistics. It employs a fixed-state transition matrix using precomputed polynomial coefficients and can be used in a Rician fading environment without reconfiguration. It is integrated with a MIMO minimum-mean-squared-error decision feedback equalizer, and simulation results show that the system performance using the estimator can be made comparable to that employing a Kalman estimator under a broad range of channel conditions.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:57 ,  Issue: 3 )

Date of Publication:

May 2008

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