DocumentCode
1756270
Title
Spatially coupled sparse codes on graphs: theory and practice
Author
Costello, Daniel J. ; Dolecek, Lara ; Fuja, Thomas ; Kliewer, Joerg ; Mitchell, David ; Smarandache, Roxana
Author_Institution
Univ. of Notre Dame, Notre Dame, IN, USA
Volume
52
Issue
7
fYear
2014
fDate
41821
Firstpage
168
Lastpage
176
Abstract
Since the discovery of turbo codes 20 years ago and the subsequent rediscovery of low-density parity check codes a few years later, the field of channel coding has experienced a number of major advances. Until that time, code designers were usually happy with performance that came within a few decibels of the Shannon Limit, primarily due to implementation complexity constraints, whereas the new coding techniques now allow performance within a small fraction of a decibel of capacity with modest encoding and decoding complexity. Due to these significant improvements, coding standards in applications as varied as wireless mobile transmission, satellite TV, and deep space communication are being updated to incorporate the new techniques. In this article, we review a particularly exciting new class of low-density parity check codes called spatially coupled codes, which promise excellent performance over a broad range of channel conditions and decoded error rate requirements.
Keywords
channel coding; decoding; graph theory; parity check codes; turbo codes; Shannon limit; channel coding; code designers; coding standards; coding techniques; complexity constraints; decoded error rate requirements; decoding complexity; deep space communication; encoding complexity; graphs; low-density parity check codes; satellite TV; spatially coupled sparse codes; turbo codes; wireless mobile transmission; Block codes; Convolutional codes; Decoding; Iterative decoding; Sparse matrices;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2014.6852099
Filename
6852099
Link To Document