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The authors present a decision-directed tracking approach to doubly-selective MIMO channel estimation, exploiting the Complex Exponential Basis Expansion Model (CE-BEM) for the overall channel variations, and an Auto-Regressive (AR) model to update the BEM coefficients. They track the BEM coefficients via Kalman filtering, aided by symbol decisions from a Decision-Feedback Equalizer (DFE). The time gap between symbol decisions and required channel estimates, arising from the decision-directed tracking, is bridged by CE-BEM-based channel prediction using the estimated BEM coefficients.
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