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Application of efficient Chase algorithm in decoding of generalized low-density parity-check codes

机译:高效Chase算法在广义低密度奇偶校验码解码中的应用

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We consider the iterative decoding of generalized low-density (GLD) parity-check codes where, rather than employ an optimal subcode decoder, a Chase (1972) algorithm decoder more commonly associated with "turbo product codes" is used. GLD codes are low-density graph codes in which the constraint nodes are other than single parity-checks. For extended Hamming-based GLD codes, we use bit error rates derived by simulation to demonstrate this new strategy to be successful at higher code rates. For long block lengths, good performance close to capacity is possible with decoding costs reduced further since the Chase decoder employed is an efficient implementation.
机译:我们考虑对通用低密度(GLD)奇偶校验码进行迭代解码,在该算法中,不是采用最佳子码解码器,而是使用了通常与“涡轮乘积码”相关联的Chase(1972)算法解码器。 GLD代码是低密度图形代码,其中约束节点不是单个奇偶校验。对于基于汉明的扩展GLD码,我们使用仿真得出的误码率来证明这种新策略在更高码率下是成功的。对于长块长度,由于所采用的Chase解码器是一种有效的实现方式,因此可能实现接近容量的良好性能,并且解码成本进一步降低。

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