Estimation and Equalization for MIMO Channels: A Polynomial Prediction Approach with Integrated Receiver Designs

Modern wideband wireless communication systems that allow ubiquitous, 24-7, multimedia-rich transmission require state-of-the-arts technical breakthrough. Multiple-input multiple-output (MIMO) systems have been highly regarded as one such important technical enabler. In reality, however, many challenges remain to be solved before the actual potentials can be realized. This book focuses on the latest research on MIMO channel estimation and equalization. Two types of spatially-multiplexed MIMO receiver structure with integrated channel estimation and tracking are introduced. One is a symbol-by-symbol receiver using a vector decision feedback equalizer (DFE), and the other is a sequence-based receiver using a partitioned Viterbi algorithm (PVA) which approaches the performance of maximum likelihood sequence estimation (MLSE). A polynomial prediction based channel estimator, known as the vector generalized recursive least squares (VGRLS) algorithm, together with a reduced complexity form, are presented. This book is suitable for graduate-level students, and is an essential read for engineers, researchers and academics working on MIMO systems.