Adaptive and Iterative Signal Processing in Communications

List of Figures

Chapter 1: Introduction

Figure 1.1: Radio channel with multipaths. In this illustration, the propagation delay of the upper path is zero, while the propagation delay of the lower path is ? > 0. The received signal is a superposition of the multipath signals.
Figure 1.2: Multiuser system.
Figure 1.3: Dispersive channel and linear equalizer.
Figure 1.4: Uplink channels with spread signals.
Figure 1.5: Block diagram for MIMO systems.
Figure 1.6: Adaptive equalization.
Figure 1.7: Iterative channel estimation approach.
Figure 1.8: Turbo equalizer within the iterative receiver.

Chapter 2: Channel Equalization for Dispersive Channels

Figure 2.1: Communications through a bandlimited channel.
Figure 2.2: Examples of waveforms of p(t) and z(t).
Figure 2.3: Discrete-time domain ISI channel.
Figure 2.4: Linear equalizer.
Figure 2.5: Frequency responses of two channels.
Figure 2.6: Bit error rate performance of the MMSE LE for Channel A and Channel B.
Figure 2.7: Structure of the DFE.
Figure 2.8: Bit error rate performance of the MMSE DFE with and without decision errors.
Figure 2.9: MSE function and its derivative when M = 1.
Figure 2.10: A case of divergence when is too large.

Chapter 3: Sequence Detection with Adaptive Channel Estimation

Figure 3.1: FIR channel with additive white Gaussian noise.
Figure 3.2: Bit error rate versus SNR for the AWGN channel without ISI.
Figure 3.3: Trellis diagram for an ISI channel when P = 3.
Figure 3.4: Two paths enter state s k. The path that has the larger cost at time l will be discarded.

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