《Signal Processing in Digital Communications》: Signal Processing in Digital Communications.pdf

Preface
Modern digital communications correspond to a major change in the
design paradigm shift from fixed, hardware-intensive to multiband,
multimode, and software-intensive for digital communication radios
that a large portion of the signal processing functionality is implemented
through programmable digital signal processing (DSP) devices.
This provides the ability of the digital communication radios
to change their operating bandwidths and modes to accommodate
new features and capabilities. The digital communication radios not
only reduce analog components of radio frequency (RF) but also emphasize
DSP to improve overall receiver flexibility and performance
for the RF transceiver, while traditional radios still focus on analog
component design. This book attempts to present some important
and new developments of signal processing technologies and approaches
to the digital communications field that are likely to evolve
in the coming decade. Signal processing advances will be the key to
the future of the digital communication radios.
This book is a complete resource on signal processing for
digital communications, including in-depth coverage of theories,
algorithms, system design, analysis, and applications. Based on
the author’s extensive research and industry experience, this
authoritative book presents an up-to-date and comprehensive
treatment of all aspects, including digital, multirate, adaptive,
and statistical signal processing technologies for the digital
communication radios. This book provides excellent guidance in
overcoming critical challenges in the field involving wireless and
wireline channel characterization and distortion, smart antennas,
link budget, channel capacities, digital RF transceivers, channel
estimation and blind identification, multichannel and multicarrier
modulation, discrete multitone (DMT) and orthogonal frequency
division multiplexing (OFDM), discrete-time timing and carrier
recovery synchronization, and adaptive equalizers at communication
receivers.
The book offers a coherent treatment of the fundamentals of
cutting-edge technologies and presents efficient algorithms and their
implementation methods with detailed examples. Packed with over
1,370 equations and more than 100 illustrations, this book offers a
one-stop reference to cover a wide range of key topics, from channel
capacity, link budget, digital RF systems, smart antenna systems,
probability, random variables and stochastic signal processing,
sampling theory, pulse shaping and matched filtering, to channel
models, estimation and blind identification, multicarrier, fast Fourier
transform (FFT)– and filter bank–based OFDM, discrete-time phase
locked loop, fractionally spaced, decision feedback, space-time, and
diversity equalizers.
Chapter 1 begins with an introduction of a history of
communications using electricity; this chapter also provides an
overview of digital communication systems that are intended to
present a broad topic of signal processing relative to digital
communications. In addition, Chapter 1 addresses basic concepts of
digital RF system and link budget.
Chapter 2 reviews fundamental theories of probability, random
variable, and stochastic signal processing. This chapter presents
probability distribution and density and upper bounds on the
probability, and it focuses on stochastic signal processing for linear
systems, detection theories, and optimum receivers.
Chapter 3 introduces sampling theory, including instantaneous
sampling, Nyquist sampling theorem based on time-domain and
frequency-domain interpolation formulas, and aliasing. Undersampling,
which is often used for intermediate frequency sampling, is
described to sample a bandpass signal at a receiver. In addition, this
chapter presents stochastic sampling theorem with applications to
bandlimited stochastic processes.
Chapter 4 presents Gaussian and bandlimited channel capacities.
This chapter also explains a concept of the channel capacities to
single-input multiple-output (SIMO), multiple-input single-output
(MISO), and multiple-input multiple-output (MIMO) systems.
Chapter 5 discusses smart antenna systems and focuses
on different beamforming structures. In addition, this chapter
introduces beamforming algorithms for the smart antenna systems
using optimization constraint methods.
The focus of Chapter 6 is channel characterizations and
distortions that concentrate on wireless and wireline channels.
Pulse shaping with methods of raised-cosine pulse and Gaussian
shaping pulse is also addressed. Furthermore, this chapter introduces
matched filtering in terms of maximum signal-to-noise ratio.
Chapter 7 considers discrete-time channel models and estimations
for SISO, SIMO, and MIMO channels. This chapter discusses
four methods of maximum likelihood, least square, generalized least
square, and minimum mean-square error (MMSE) estimators for the
channels. Moreover, this chapter presents adaptive channel estimations
and algorithms and their convergence analysis. Finally, this
chapter also introduces the use of blind identifications to estimate
the channels in the absence of a training sequence.
Chapter 8 describes a set of equalizers at radio receivers and
presents their operation theories, including linear and adaptive linear
equalizers, fractional spaced and decision feedback equalizers, and
space-time MMSE equalizers. In addition, this chapter introduces
diversity equalizers based on adaptive Rake receivers.
Chapter 9 turns our attention to multicarrier modulation,
DMT, and OFDM for radio receivers. This chapter begins by
introducing fundamentals of DMT modulation and then presents
FFT–based and filter bank–based OFDM. In addition, this chapter
addresses efficient implementation methods of using polyphasebased
and maximally decimated FFT filter banks for designing radio
transceivers.
Chapter 10 covers discrete-time synchronizations, which describe
discrete-time phase locked loop, timing recovery, and carrier
recovery. Various methods of timing and carrier recoveries are introduced.
These methods include early-late gate, bandedge, decisiondirected,
multirate, polyphase filter band, and multicarrier modulation
for the discrete-time synchronizations.
I would like to thank many anonymous reviewers for their
comments on enhancing the technical presentation of this book.
I would especially like to thank the technical reviewers and the
copyeditor at Artech House for thoroughly reading all the draft
chapters and the final manuscript and providing many detailed and
valuable suggestions and comments for the book. I truly appreciate
their contributions.
I would like to thank the Artech House staff, including Kevin
Danahy, Barbara Lovenvirth, Mark Walsh, and Audrey Anderson,
for providing guidance on the writing of the entire manuscript, the
publication, and the promotion of this book.
Of course, I would like to thank my family. It’s hard to believe
that my daughters, Kathleen and Julia, are now in middle school
and elementary school, respectively. They are both studying hard at
school to enhance their knowledge. They may not be interested in the
area of digital signal processing and communications, which I love,
but they could learn the fundamentals of this field and use them to
explore their own fields of interest when they grow up.
My wife, Lisa, continues to be our cornerstone.Without her love,
everything would fall apart. Perhaps there would be no way this book
could have been finished without her encouragement.
All things are difficult before they are easy. Without seeking,
nothing will be found. Drops of water wear out the stone. Everything
is possible to a willing heart.

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