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Ordered Statistic Decoding for Short Polar Codes

机译:短极化码的有序统计解码

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In this letter, the ordered statistic decoding (OSD) is considered to decode short polar codes. Since the number of tested codewords is high in the original OSD, a threshold-based OSD is proposed to reduce the complexity. The analysis shows that the threshold affects the OSD in two ways. One is the error floor in high signal-to-noise ratio (SNR) region while the other is the reduction of the number of tested codewords. The estimation on the BLER performance in high SNR region and the average number of tested codewords are discussed. After that, CRC-aided OSD is proposed to further improve the performance of polar codes. Simulation results show that a well-designed threshold-based OSD can reduce the complexity without significant performance loss. And a higher order OSD decoder is needed if OSD is used to decoding moderate or long polar codes. It is also illustrated that the CRC-aided OSD outperforms the CRC-aided list decoding when the code rate is high. When code rate is low, the result inverses.
机译:在这封信中,有序统计解码(OSD)被认为是解码短极性码。由于在原始OSD中测试代码字的数量很高,因此提出了基于阈值的OSD以降低复杂度。分析表明,阈值以两种方式影响OSD。一个是高信噪比(SNR)区域中的错误基底,而另一个是减少测试码字的数量。讨论了在高SNR区域中BLER性能的估计以及测试码字的平均数量。此后,提出了CRC辅助OSD,以进一步提高极性码的性能。仿真结果表明,精心设计的基于阈值的OSD可以降低复杂度,而不会显着降低性能。如果OSD用于解码中等或长极性代码,则需要更高阶的OSD解码器。还示出了当码率高时,CRC辅助的OSD优于CRC辅助的列表解码。当编码率较低时,结果相反。

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