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Layered Offset Min-Sum Decoding for Low Density Parity Check Codes

机译:低密度奇偶校验码的分层偏移最小和解码

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Offset Min-Sum Algorithm (OMSA) and Normalized Min-Sum Algorithm (NMSA) are widely used in commercial LDPC decoders due to low complexity and reasonable performance. In this paper we proposes an Adaptive Layered Offset min- sum algorithm for the decoding of LDPC codes, which utilizes an adaptive offset factor to improve the accuracy of the soft information transferred during the iterative decoding process, and it provides good performance accordingly. The performed simulations showed that the layered offset min-sum decoding for LDPC codes can provide significant improvement compared to existing MS based algorithm, OMSA and NMSA.
机译:偏移最小和算法(OMSA)和归一化最小和算法(NMSA)由于低复杂度和合理的性能而广泛用于商业LDPC解码器中。在本文中,我们提出了一种用于LDPC码解码的自适应分层偏移最小和算法,该算法利用自适应偏移因子来提高迭代解码过程中传送的软信息的准确性,并因此提供了良好的性能。进行的仿真表明,与现有的基于MS的算法OMSA和NMSA相比,LDPC码的分层偏移最小和解码可以提供显着的改进。

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