Channel Estimation and Equalization for Doubly-selective Channels Using Basis Expansion Models

In this dissertation, channel estimation and equalization for doubly-selective channels are considered in Chapter 2 (under single input single output models) and Chapter 3 (under multiple input multiple output models), where the time-varying channel is assumed to be well described by basis expansion models (BEM). Our focus is on time-multiplexed training for channel estimation where the training symbols are periodically inserted and use all transmitted power during their transmission.

MIMO methods employ multiple transmitter and receiver antennas to increase the
data rate and to achieve spatial diversity. Traditionally, multiple antennas have
been used on the receiver side to combat the multipath fading. The receive ...