Channel coding techniques for wireless communications [electronic resource] / K. Deergha Rao.
2015
TK5102.92
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Title
Channel coding techniques for wireless communications [electronic resource] / K. Deergha Rao.
Author
Rao, K. Deergha, author.
ISBN
9788132222927 electronic book
813222292X electronic book
9788132222910
813222292X electronic book
9788132222910
Published
New Delhi : Springer, 2015.
Language
English
Description
1 online resource.
Item Number
10.1007/978-81-322-2292-7 doi
Call Number
TK5102.92
Dewey Decimal Classification
621.382/2
Summary
The book discusses modern channel coding techniques for wireless communications such as turbo codes, low-density parity check (LDPC) codes, space?time (ST) coding, RS (or Reed?Solomon) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with MATLAB-based programs to enhance the understanding of the subject?s underlying theories. It includes current topics of increasing importance such as turbo codes, LDPC codes, Luby transform (LT) codes, Raptor codes, and ST coding in detail, in addition to the traditional codes such as cyclic codes, BCH (or Bose?Chaudhuri?Hocquenghem) and RS codes and convolutional codes. Multiple-input and multiple-output (MIMO) communications is a multiple antenna technology, which is an effective method for high-speed or high-reliability wireless communications. PC-based MATLAB m-files for the illustrative examples are provided on the book page on Springer.com for free download, which will help students and researchers involved in advanced and current concepts in coding theory. Channel coding, the core of digital communication and data storage, has undergone a major revolution as a result of the rapid growth of mobile and wireless communications. The book is divided into 11 chapters. Assuming no prior knowledge in the field of channel coding, the opening chapters (1?2) begin with basic theory and discuss how to improve the performance of wireless communication channels by using channel coding. Chapters 3?4 introduce Galois fields and present detailed coverage of BCH codes and RS codes. Chapters 5?7 introduce the family of convolutional codes, hard and soft-decision Viterbi algorithms, turbo codes, BCJR (or Bahl?Cocke?Jelinek?Raviv) algorithm for turbo decoding and studies trellis coded modulation (TCM), turbo TCM (TTCM), bit-interleaved coded modulation (BICM) as well as iterative BICM (BICM-ID) and compares them under various channel conditions. Chapters 8?9 focus on LDPC codes, LT codes and Raptor codes. Chapters 10?11 discuss MIMO systems and ST coding.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 1, 2015).
Available in Other Form
Print version: 9788132222910
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Table of Contents
Chapter 1. Introduction
Chapter 2. Performance of Digital Communication Over Fading Channels
Chapter 3. Galois Field Theory
Chapter 4. Linear Block Codes
Chapter 5. Convolutional Codes
Chapter 6. Turbo Codes
Chapter 7. Bandwidth Efficient Coded Modulation
Chapter 8. Low Density Parity Check codes
Chapter 9. LT and Raptor Codes
Chapter 10. MIMO System
Chapter 11. Space-Time Coding.
Chapter 2. Performance of Digital Communication Over Fading Channels
Chapter 3. Galois Field Theory
Chapter 4. Linear Block Codes
Chapter 5. Convolutional Codes
Chapter 6. Turbo Codes
Chapter 7. Bandwidth Efficient Coded Modulation
Chapter 8. Low Density Parity Check codes
Chapter 9. LT and Raptor Codes
Chapter 10. MIMO System
Chapter 11. Space-Time Coding.