DocumentCode :
1382650
Title :
Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels
Author :
Iyengar, Aravind R. ; Papaleo, Marco ; Siegel, Paul H. ; Wolf, Jack Keil ; Vanelli-Coralli, Alessandro ; Corazza, Giovanni E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, CA, USA
Volume :
58
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
2303
Lastpage :
2320
Abstract :
We consider a windowed decoding scheme for LDPC convolutional codes that is based on the belief-propagation (BP) algorithm. We discuss the advantages of this decoding scheme and identify certain characteristics of LDPC convolutional code ensembles that exhibit good performance with the windowed decoder. We will consider the performance of these ensembles and codes over erasure channels with and without memory. We show that the structure of LDPC convolutional code ensembles is suitable to obtain performance close to the theoretical limits over the memoryless erasure channel, both for the BP decoder and windowed decoding. However, the same structure imposes limitations on the performance over erasure channels with memory.
Keywords :
convolutional codes; decoding; parity check codes; belief-propagation algorithm; erasure channel; low-density parity-check codes; protograph-based LDPC convolutional codes; windowed decoding scheme; Bismuth; Block codes; Convolutional codes; Decoding; Iterative decoding; Polynomials; Belief propagation; convolutional codes; decoding thresholds; erasure channels; iterative decoding; low-density parity-check codes; stopping sets; windowed decoding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2011.2177439
Filename :
6086762
Link To Document :
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