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Low Density Parity Check Codes with Non-Equiprobable Symbols

机译:具有非等价符号的低密度奇偶校验码

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In this letter, we analyze how to decode LDPC codes with non-equiprobable binary symbols. For such symbols, we need to modify the conventional Tanner graph, because the message passing from check nodes to information bits and to parity check bits are diverse. In other words, in conventional Tanner graph, the message passing along two directions are identical, while in our case, the message along the forward direction and backward direction are different. A method to optimize signaling constellation which maximizes the channel mutual information is presented as well. In the numerical section, symbols with prior probabilities (0.3,0.7) could gain 0.72 dB in performance if we replace equal space constellation with optimal constellation. Several cases of short LDPC codes (N, K =1024, 512) are explored and gain almost 0.4 dB. The simulation shows that additional gain of only 0.2 dB could be attainable, if optimal source coding is achievable.
机译:在这封信中,我们分析了如何用不可配置的二进制符号解码LDPC码。对于此类符号,我们需要修改常规的Tanner图,因为从校验节点传递到信息位和奇偶校验位的消息是多种多样的。换句话说,在传统的Tanner图中,沿两个方向传递的消息是相同的,而在我们的情况下,沿向前和向后的消息是不同的。还提出了一种优化信令构象的方法,该方法使信道互信息最大化。在数字部分,如果用最佳星座替换等空间星座,则具有先验概率(0.3,0.7)的符号可能会获得0.72 dB的性能。探索了几种短LDPC码的情况(N,K = 1024,512),增益接近0.4 dB。仿真表明,如果可以实现最佳源编码,则只能获得0.2 dB的额外增益。

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