  We investigate remote estimation over a Gilbert-Elliot channel with feedback.
We assume that the channel state is observed by the receiver and fed back to
the transmitter with one unit delay. In addition, the transmitter gets ACK/NACK
feedback for successful/unsuccessful transmission. Using ideas from team
theory, we establish the structure of optimal transmission and estimation
strategies and identify a dynamic program to determine optimal strategies with
that structure. We then consider first-order autoregressive sources where the
noise process has unimodal and symmetric distribution. Using ideas from
majorization theory, we show that the optimal transmission strategy has a
threshold structure and the optimal estimation strategy is Kalman-like.
