Comparing Decoding Performance of LDPC Codes and Convolutional Codes for Short Packet Transmission

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI:10.1109/INDIN41052.2019.8972062

Yi Deng, Ming Zhan, Meng Wang, Chao Yang, Xiaohong Luo, Jie Zeng, Jing Guo

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引用次数: 4

Abstract

In the field of industrial automation research, wireless control in key application scenarios has become a research hotspot. Nevertheless, transmission over wireless channels in industrial environments is prone to interference, resulting in frequent erroneous packet deliveries. Forward Error Correction (FEC) code as an approach is able to effectively improve reliability and reduce the number of retransmissions. Therefore, channel coding needs further analysis to achieve better industrial wireless application. To this aim, this paper compares the decoding performance of convolutional codes and low-density parity-check (LDPC) codes on the condition of short packet transmission. The metrics employed for evaluation are bit error rate (BER) and packet error rate (PER). The logarithmic belief propagation (Log-BP) algorithm and the Viterbi decoding algorithm are adopted to LDPC codes and convolutional codes respectively. The results show that the decoding algorithm of LDPC codes is prominent in short packet transmission.

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LDPC码与卷积码在短分组传输中的解码性能比较

在工业自动化研究领域，关键应用场景下的无线控制已成为研究热点。然而，在工业环境中，无线信道的传输容易受到干扰，导致频繁的错误数据包传输。前向纠错(FEC)码作为一种方法，能够有效地提高可靠性，减少重传次数。因此，信道编码需要进一步的分析，以实现更好的工业无线应用。为此，本文比较了卷积码和低密度奇偶校验码在短分组传输条件下的解码性能。用于评估的指标是误码率(BER)和包错误率(PER)。分别对LDPC码和卷积码采用对数信念传播(Log-BP)算法和Viterbi译码算法。结果表明，LDPC码的译码算法在短分组传输中具有突出的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

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