
Next-generation broadband radio systems must deliver unprecedented performance and higher data rates, while coping with increased spectral congestion. To achieve these goals, engineers need an in-depth understanding of radio channels that fade in time, frequency, and space. In "Space-Time Wireless Channels," leading researcher Gregory D. Durgin presents a pragmatic, first-principles approach that integrates crucial concepts and techniques from communications, electromagnetics, and random process theory.
Durgin focuses on comprehension and practicality, offering extensive examples, illustrations, and problem sets, while avoiding gratuitious mathematics and moving most derivations to end-of-chapter appendices. Coverage includes:
Appendices listspecial functions, Fourier transform examples, and random process theory concepts, as well as all relevant mathematical symbols, conventions, and acronyms.
An essential aid for any engineer working in the field of next-generation wireless.
-- An original, "First Principles" treatment of the Space Time Wireless Channel.
-- Provides well illustrated examples and noteboxes for difficult concepts.
-- Perfect for the practicing engineer complete with problem sets and real-world implementations.
Space-Time Wireless Channels, represents a quantum leap forward for understanding the broadband radio channel. This book presents an original, first-principles approach to studying radio channels that fade in time, frequency, and space. In a world of increasing spectral congestion, higher data rates, and multiple antennas, this book helps engineers to squeeze every drop of bit capacity from the data-hostile radio channel -- a compulsory aspect of wireless system design in the 21st century. Written for practicing engineers and researchers, Space-Time Wireless Channels presents heady concepts in down-to-earth language with rich documentation, helpful note boxes, examples, illustrations, and supplemental problem sets. Topics include baseband channel modeling, multipath fading, first and second-order fading statistics, multipath angle spectra, shape factors, diversity, multiple-input multiple-output (MIMO) systems, computer simulation, and array design theory.
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