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Turbo Coding, Turbo Equalisation and Space-time Coding for Transmission Over Fading Channels
 
 

Turbo Coding, Turbo Equalisation and Space-time Coding for Transmission Over Fading Channels (Hardcover)

by Lajos Hanzo (Author), T. H. Liew (Author), B. L. Yeap (Author) "The history of channel coding or Forward Error Correction (FEC) coding dates back to Shannon's pioneering work [1] in 1948, predicting that arbitrarily reliable communications..." (more)
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Product details

  • Hardcover: 766 pages
  • Publisher: WileyBlackwell (11 Jul 2002)
  • Language English
  • ISBN-10: 0470847263
  • ISBN-13: 978-0470847268
  • Product Dimensions: 24.8 x 17.2 x 4.8 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 1,241,238 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Product Description

Against the backdrop of the emerging 3G wireless personal communications standards and broadband access network standard proposals, this volume covers a range of coding and transmission aspects for transmission over fading wireless channels. It presents the most important classic channel coding issues and also the exciting advances of the last decade, such as turbo coding, turbo equalisation and space–time coding. It endeavours to be the first book with explicit emphasis on channel coding for transmission over wireless channels.

Divided into 4 parts:

Part 1 – explains the necessary background for novices. It aims to be both an easy reading text book and a deep research monograph.

Part 2 – provides detailed coverage of turbo conventional and turbo block coding considering the known decoding algorithms and their performance over Gaussian as well as narrowband and wideband fading channels.

Part 3 – comprehensively discusses both space–time block and space–time trellis coding for the first time in literature.

Part 4 – provides an overview of turbo equalisations, also referred to as turbo demodulation.

The book systematically converts the lessons of Shannon′s information theory into design principles applicable to practical wireless systems. It provides overall design performance studies, giving cognizance to the contradictory design requirements of bit error rate, implementational complexity, coding and interleaving delay, effective throughput, coding rate and other related systems design aspects in a comprehensive manner.


From the Back Cover

Turbo coding has opened an exciting new chapter in the design of iterative detection assisted communication systems. Similar dramatic advances have been achieved with the advent of space time coding, when communicating over dispersive fading wireless channels. By assuming no prior knowledge in the field of channel coding, the authors provide a self–contained reference on these stimulating hot topics, concluding at an advanced level.

This essential volume is divided into five key parts:

1. Convolutional and Block Coding
Introduces the family of convolutional codes, hard and soft–decision Viterbi algorithms and the most prominent classes of block codes, namely Reed–Solomon (RS) and Bose–Chaudhuri–Hocquenghem (BCH) codes, as well as their algebraic and trellis–decoding.

2. Turbo Convolutional and Turbo Block Coding
Introduces turbo convolutional codes and details the Maximum A–Posteriori (MAP), Log–MAP and Max–Log–MAP as well as the Soft Output Viterbi Algorithm (SOVA). Investigates the effects of the various turbo codec parameters. Studies the super–trellis structure of turbo codes and characterises turbo BCH codes. Portrays Redundant Residue Number System (RRNS) based codes and their turbo decoding.

3. Coded Modulation: TCM, TTCM, BICM, BICM–ID
Studies Trellis Coded Modulation (TCM), Turbo Trellis Coded Modulation (TTCM), Bit–Interleaved Coded Modulation (BICM), Iterative BICM (BICM–ID) and compares them under various channel conditions.

4. Space–Time Block and Space–Time Trellis Coding
Introduces space–time codes and studies their performance using numerous channel codecs providing guidelines for system designers. Studies Multiple–Input Multiple–Output (MIMO) based schemes and the concept of near–instantaneously Adaptive Quadrature Amplitude Modulation (AQAM) combined with near–instantaneously adaptive turbo channel coding.

5. Turbo Equalisation
Covers the principle in detail, provides theoretical performance bounds for turbo equalisers and includes a study of various turbo equaliser arrangements. Also addresses the problem of reduced implementation complexity and covers turbo equalised space–time trellis codes.

If you are looking for a comprehensive treatment covering both classic channel coding techniques and recent advances in this field, then this is the book for you. Researchers, practising engineers and advanced students will all find it both informative and stimulating.

Inside This Book (Learn More)
First Sentence
The history of channel coding or Forward Error Correction (FEC) coding dates back to Shannon's pioneering work [1] in 1948, predicting that arbitrarily reliable communications are achievable with the aid of channel coding, upon adding redundant information to the transmitted messages. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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2 of 2 people found the following review helpful:
5.0 out of 5 stars Book Review, 28 Sep 2003
By Mr A D Slaney (Luton, Beds United Kingdom) - See all my reviews
My congratulations to L. Hanzo for this superb book. As a research student and a full time digital design engineer, I have found this to be an excellent book on the subject of various coding methods. It goes back to the basics of different coding schemes as well as providing a more in-depth read for the more advanced student. I highly recommend this book to any one interested in this subject.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Extensive cover with crystal clear technical approach, 9 April 2003
By CCT "Cryptoman" (United Kingdom) - See all my reviews
This is a must-have reference book that covers the key elements of iterative decoders with thorough and clear technical detail. The examples included for explaining the soft decoding algorithms are extremely useful, and they unveil many of the 'mysteries' of turbo decoding that are not bravely tackled by most experts working in this field. Even while going through the well-known iterative coding fundamentals in the book, the reader is encouraged to challenge conventional definitions, after reading the original viewpoints introduced by the author. I can confidently recommend this book to professionals designing and implementing iterative decoders, as well as research students, who study capacity approaching forward error correcting codes.
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