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Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels

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6 Author(s)
Iyengar, A.R. ; Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, CA, USA ; Papaleo, M. ; Siegel, P.H. ; Wolf, J.K.
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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.

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Information Theory, IEEE Transactions on  (Volume:58 ,  Issue: 4 )