Estimation and Equalization for MIMO Channels

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.

Autorentext
Yau Hee Kho received the B.Eng. (1st Class Honours) and Ph.D.
degrees in Electrical and Computer Engineering from the
University of Canterbury, Christchurch, New Zealand, in 1997 and

2008. He is currently a researcher with the NZi3: Wireless
      Research Centre at the University of Canterbury, and is a Member
      of IET (UK) and IEEE (USA).

      Klappentext
      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.