Analysis and Compensation of Channel and RF Impairments in MIMO Wireless Communication Systems

This dissertation presents analyses and compensation methods of channel and radio frequency (RF) impairments, including spatially-correlated and keyhole fading channels, impairments in mobile-to-mobile (M-to-M) communications, high-power amplifier (HPA) nonlinearity, in-phase and quadrature-phase (I/Q) imbalance and crosstalk, both separately and together for multiple-input multiple-output (MIMO) wireless communication systems. Specifically, one cross-layer design scheme is proposed for MIMO systems employing orthogonal space-time block code (OSTBC) over spatially-correlated and keyhole Nakagami-m fading channels. In addition, the performance of M-to-M MIMO maximal ratio combining (MRC) systems is assessed, over double-correlated Rayleigh-andLognormal fading channels. In this regard, a three-dimensional (3D) channel model, which takes into account the effects of fast fading and shadowing, is used to obtain the transmit and receive spatial correlation functions. On the other hand, we propose a constellation-based and a sequential Monte Carlo (SMC)-based compensation methods for HPA nonlinearity in the case with and without knowledge of the HPA parameters, respectively, for MIMO OSTBC systems. As for the HPA nonlinearity in MIMO transmit beamforming (TB) systems, the optimal TB scheme with the optimal beamforming weight vector and combining vector is proposed. Moreover, an alternative suboptimal but much simpler TB scheme, namely, quantized equal gain transmission (QEGT), is also evaluated in the presence of HPA nonlinearity. We also propose a compensation algorithm for I/Q imbalance in MIMO MRC systems, which first employs the least-squares (LS) rule to estimate the coefficients of the channel gain matrix, beamforming and combining weight vectors, and parameters of I/Q imbalance jointly, and then makes use of the received signal