What question did this study set out to answer?

To evaluate the performance and structural characteristics of windowed belief-propagation decoding for protograph-based LDPC convolutional code ensembles over erasure channels with and without memory.

November 23, 2011IEEE Transactions on Information TheoryOpen Access

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

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To evaluate the performance and structural characteristics of windowed belief-propagation decoding for protograph-based LDPC convolutional code ensembles over erasure channels with and without memory.
Implemented a windowed decoding scheme based on the belief-propagation (BP) algorithm for LDPC convolutional codes.
Evaluated the ensemble structures and error-correcting performance across both memoryless erasure channels and erasure channels with memory.
Achieved performance close to theoretical limits over memoryless erasure channels using both standard belief-propagation and windowed decoding.
Demonstrated that the underlying structural properties of LDPC convolutional codes impose performance limitations over erasure channels with memory.

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Implication

Performance analysis demonstrates near-capacity decoding for LDPC convolutional codes over memoryless erasure channels, indicating structural limitations in channels with memory.

Cite This Study

A 2011 study studied this question.

synapsesocial.com/papers/6a7d414ca7839e36ac1cd210 https://doi.org/10.1109/tit.2011.2177439

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Implication

Performance analysis demonstrates near-capacity decoding for LDPC convolutional codes over memoryless erasure channels, indicating structural limitations in channels with memory.

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

Key Points

Discussion

Implication

Cite This Study

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

Key Points

Discussion

Implication

Cite This Study

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