By Tolga M. Duman
Coding for MIMO communique Systems is a complete creation and evaluate to many of the rising coding thoughts built for MIMO conversation platforms. the fundamentals of instant communications and primary problems with MIMO channel means are brought and the space-time block and trellis coding ideas are lined intimately. different signaling schemes for MIMO channels also are thought of, together with spatial multiplexing, concatenated coding and iterative interpreting for MIMO platforms, and space-time coding for non-coherent MIMO channels. functional concerns together with channel correlation, channel estimation and antenna choice also are explored, with difficulties on the finish of every bankruptcy to explain many very important topics.
A finished publication on coding for MIMO options masking major strategies
Theories and functional concerns on MIMO communications are tested in detail
Easy to stick to and available for either newcomers and skilled practitioners within the field
References on the finish of every bankruptcy for additional reading
- Can be used comfortably as a learn ebook, or a textbook on a graduate or complex undergraduate point course
This publication is aimed toward complex undergraduate and postgraduate scholars, researchers and practitioners in undefined, in addition to contributors operating for presidency, army, technological know-how and know-how associations who want to research extra approximately coding for MIMO verbal exchange structures.
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Extra info for Coding for MIMO Communication Systems
Furthermore, we brieﬂy review linear dispersion codes. Space-time trellis codes (STTCs), another class of space-time codes, are presented in detail in Chapter 5. These codes are comparable to STBCs in terms of their spatial diversity where both classes of codes can achieve the full spatial diversity for a given number of transmit and receive antennas. Unlike STBCs, the design of STTCs is based on trellises, and thus, in addition to achieving spatial diversity, they achieve coding gains. Since their encoder is represented by a trellis, STTCs are decoded using the Viterbi algorithm, which is more complex than the decoder used for STBCs.
3 Organization of the Book We discuss in this book a wide range of topics related to MIMO systems. In Chapter 2, we give an introduction to fading channels and diversity techniques. Several fading channels are considered, including fast, block and quasi-static fading. We brieﬂy discuss the differences between ﬂat fading and frequency selective fading. We describe various approaches to signal detection at the receiver, especially over frequency ﬂat fading channels. Various diversity techniques, including the use of channel coding to achieve temporal diversity are also discussed.
Since the Rayleigh fading channel is a realistic model with a sound theoretical foundation, and it is basically the “worst case” scenario with no line of sight or specular component, we mostly deal with this model in detail. This will be the case throughout the book. Due to the existence of the specular component, the outage probability expressions and average error rates for the case of Rician fading will be better than those of Rayleigh fading. Depending on the value of the K parameter, the resulting error rates could be close to those of AWGN or Rayleigh fading channels.