Two-dimensional correction for min-sum decoding of irregular LDPC codes
Two-dimensional correction for min-sum decoding of irregular LDPC codes
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DOI：
10.1109/lcomm.2006.1603377
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发表时间：
2006-06
期刊：
影响因子：
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通讯作者：
Juntan Zhang;M. Fossorier;Daqing Gu
中科院分区：
文献类型：
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作者：
Juntan Zhang;M. Fossorier;Daqing Gu
提出了二维（2-D）校正方案，以提高不规则低密度平等校验代码的常规Min-SUM（MS）解码的性能。提出了基于平行差异优化的迭代程序，以获得最佳的2-D因子。密度演化分析和模拟都表明，所提出的方法提供了与信念传播（BP）解码相当的性能，同时需要较小的复杂性。有趣的是，新方法的误差地板比BP解码较低。关于常规的MS和1-D标准化的MS解码，2-D标准化的MS提供了更好的性能。 2-D偏移MS解码表现出类似的行为。
Two-dimensional (2-D) correction schemes are proposed to improve the performance of conventional min-sum (MS) decoding of irregular low density parity check codes. An iterative procedure based on parallel differential optimization is presented to obtain the optimal 2-D factors. Both density evolution analysis and simulation show that the proposed method provides a comparable performance as belief propagation (BP) decoding while requiring less complexity. Interestingly, the new method exhibits a lower error floor than that of BP decoding. With respect to conventional MS and 1-D normalized MS decodings, the 2-D normalized MS offers a better performance. The 2-D offset MS decoding exhibits a similar behavior.