MIMO Systems: Principles, Iterative Techniques, and Advanced Polarization - Adaptive Signal Processing in Wireless Communications - page 94

4
MIMO Systems:
Principles, Iterative
Tech n iq ues,
and Advanced
Polarization

4.1 Introduction ............................................................ 96
4.2 MIMO Systems and Channel Models ................. 96
MIMO Communication Systems • MIMO
Channel Stationarity Deinition • Classiication
of MIMO Channel Models
4.3 MIMO Channel Capacity...................................... 99
Capacity of a Fading Channel • MIMO
Capacity • Some Numerical Results
4.4 Iterative Signal Detection .................................... 103
Space-Time Coding and Decoding • General
Formulation of LD Codes • Iterative Detection
for Nonorthogonal ST Schemes • Orthogonal
versus Nonorthogonal ST Schemes
4.5 Advanced Polarization Diversity
Techniques for MIMO Systems .......................... 113
Antennas • Cross-Polarization Discrimination •
Geometry-Based Stochastic Channel Models •
Spatial Correlation and Angle Spread Efects •
Capacity of Polarized Channels • Impact of
Depolarization Efect on MIMO Conigurations •
Adaptive MIMO Polarized-Antenna Selection
Technique (AMPAS)
4.6 MIMO Applications ............................................. 126
Wireless LAN-Based MIMO • MIMO for
Cooperative Sensor Networks
References ......................................................................... 129

K. Raoof
Domaine Universitaire

M. A. Khalighi
École Centrale Marseille

N. Prayongpun
Domaine Universitaire