DocumentCode :
1080773
Title :
Channel coding: The road to channel capacity
Author :
Costello, Daniel J. ; Forney, G. David
Author_Institution :
Notre Dame Univ., Notre Dame
Volume :
95
Issue :
6
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
1150
Lastpage :
1177
Abstract :
Starting from Shannon´s celebrated 1948 channel coding theorem, we trace the evolution of channel coding from Hamming codes to capacity-approaching codes. We focus on the contributions that have led to the most significant improvements in performance versus complexity for practical applications, particularly on the additive white Gaussian noise channel. We discuss algebraic block codes, and why they did not prove to be the way to get to the Shannon limit. We trace the antecedents of today´s capacity-approaching codes: convolutional codes, concatenated codes, and other probabilistic coding schemes. Finally, we sketch some of the practical applications of these codes.
Keywords :
AWGN channels; algebraic codes; block codes; channel capacity; channel coding; Shannon limit; additive white Gaussian noise channel; algebraic block codes; channel capacity; channel coding; AWGN channels; Additive white noise; Block codes; Channel capacity; Channel coding; Concatenated codes; Convolutional codes; Parity check codes; Signal to noise ratio; Turbo codes; Algebraic block codes; channel coding; codes on graphs; concatenated codes; convolutional codes; low-density parity-check codes; turbo codes;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2007.895188
Filename :
4282117
Link To Document :
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