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A practical, "first-principles" approach to space-time wireless channel design.
A practical approach to space-time wireless channel design
Integrates essential principles from communications, electromagnetics, and random process theory
Includes detailed coverage of diversity, multipath applications, and antenna array design
Contains extensive examples, illustrations, and problem sets
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:
Fundamentals of space, time, and frequency transmission and random process theory
Electromagnetic description of space-time channels and the physics of small-scale fading
First- and second-order statistics of fading channels
Angle spectrum concepts and applications, including vector/scalar space and multipath shape factors
Antenna diversity, temporal diversity, and bit error rates
Multipath channels: separation, signaling, block coding, and antenna array design
Appendices list special functions, Fourier transform examples, and random process theory concepts, as well as all relevant mathematical symbols, conventions, and acronyms.
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Based on 1 Ratings
concise wireless/em/comm engineering text; smooth read - 2004-08-29
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I bought this text as more of a supplement, expecting more of a handbook on the latest and greatest channel models. I was pleasantly surprised by the author's fluid style of writing and his use of precisely enough mathematics to solidify the fundamental concepts in my mind. I've never seen a book like this- pulling just enough math from each of the supporting discplines (EM, Rand Proc., and Comm Th'y) to give depth, and prose to facilitate understanding.
Most text books at this level are either mathematically rigorous (i.e. eq'n after eq'n) or are fluff (i.e. vague and diluted). This book can be read cover to cover and still be of use after the fact.
Another plus is that the author provides a lot of illustrations. These put things into context, so the reader is never lost.
Obviously, one needs to invest in more than just one book and needs journals and theses to really develop a topic, but this is a great place to start for a grad student looking to pull together concepts from his/her undergrad courses (as in my situation). I can't put it down- it just makes so many things make sense! How many technical texts can you say that about?
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