Title :
Channel coding: The road to channel capacity
Author :
Costello, Daniel J. ; Forney, G. David
Author_Institution :
Notre Dame Univ., Notre Dame
fDate :
6/1/2007 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2007.895188