LDPC块码与LDPC卷积码的译码延迟比较

N. Hassan, M. Lentmaier, G. Fettweis
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引用次数: 45

摘要

我们比较了LDPC块码和LDPC卷积码在低解码延迟下的解码性能。基于原型的规则LDPC码被认为具有相当小的提升因子。LDPC块码和卷积码采用信念传播进行解码。对于LDPC卷积码,采用不同窗口大小的滑动窗口解码器对输入符号进行连续解码。我们展示了所需的Eb/N0,以实现LDPC块和LDPC卷积码的误码率为10-5,解码延迟高达约550信息位。已经观察到,即使在低延迟下,LDPC卷积码也比它们派生的块码表现得更好。我们演示了复杂性和性能之间的权衡,比如提升系数和窗口大小,以获得固定的延迟值。此外,还比较了两种编码的复杂度与Eb/N0的关系。并将Viterbi译码的卷积码与上述两种码进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of LDPC block and LDPC convolutional codes based on their decoding latency
We compare LDPC block and LDPC convolutional codes with respect to their decoding performance under low decoding latencies. Protograph based regular LDPC codes are considered with rather small lifting factors. LDPC block and convolutional codes are decoded using belief propagation. For LDPC convolutional codes, a sliding window decoder with different window sizes is applied to continuously decode the input symbols. We show the required Eb/N0 to achieve a bit error rate of 10-5 for the LDPC block and LDPC convolutional codes for the decoding latency of up to approximately 550 information bits. It has been observed that LDPC convolutional codes perform better than the block codes from which they are derived even at low latency. We demonstrate the trade off between complexity and performance in terms of lifting factor and window size for a fixed value of latency. Furthermore, the two codes are also compared in terms of their complexity as a function of Eb/N0. Convolutional codes with Viterbi decoding are also compared with the two above mentioned codes.
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