Computer Science – Information Theory
Scientific paper
2010-10-21
Computer Science
Information Theory
18 pages, 9 figures, accepted for publication in the IEEE Transactions on Information Theory
Scientific paper
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.
Corazza Giovanni
Iyengar Aravind
Papaleo Marco
Siegel Paul
Vanelli-Coralli Alessandro
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