OFDM with multiple antennas has been considered in the future wireless
communication systems. The challenge in the detection of a space-time
signal is to design a low-complexity detector, which can remove
interference resulted from channel variations and approach the
interference-free bound. In this book, we employ an iterative receiver
with a decoder metric, so that the bias effect in the iterations is
considerably reduced, which is critical for the performance of the
iterative algorithm. A new algorithm is proposed for intercarrier
interference cancellation in high mobility scenarios. Furthermore, a
simplified method is developed to reduce the computation complexity in
the frequency- domain equalizer. In time-variant scenarios, we
investigate a pilot-assisted channel estimation method under the
assumption that the channel can be approximated by a linear model. The
estimated channel will be used to update the frequency-domain equalizer
and parallel interference canceler (PIC) in the iterative MIMO-OFDM
receiver. It is shown that the proposed equalization algorithm with
estimated channel state information can mitigate the effect of ICI
effectively.