Overlapped decoding for a class of quasi-cyclic LDPC codes

In low-density parity-check (LDPC) code decoding with the iterative sum-product algorithm (SPA), due to the randomness of the parity-check matrix, H, the overlapping of the check node processing unit (CNU) and variable node processing unit (VNU) in the same clock cycle is difficult. The paper demons...

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Bibliographic Details
Published inIEEE Workshop onSignal Processing Systems, 2004. SIPS 2004 pp. 113 - 117
Main Authors Sang-Min Kim, Parhi, K.K.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
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Summary:In low-density parity-check (LDPC) code decoding with the iterative sum-product algorithm (SPA), due to the randomness of the parity-check matrix, H, the overlapping of the check node processing unit (CNU) and variable node processing unit (VNU) in the same clock cycle is difficult. The paper demonstrates that overlapped decoding can be exploited as long as the LDPC matrix is composed of identity matrices and their cyclic-shifted matrices, i.e., the parity-check matrix, H, belongs to a class of quasi-cyclic LDPC codes. It is shown that the number of clock cycles required for decoding can be reduced by 50% when overlapped decoding is applied to a (3,6)-regular LDPC code decoder.
ISBN:9780780385047
0780385047
DOI:10.1109/SIPS.2004.1363034