Meng Jiahui, Zhao Danfeng, Tian Hai, Zhang Liang
College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel). 2018 Jan 15;18(1):236. doi: 10.3390/s18010236.
In order to improve the performance of non-binary low-density parity check codes (LDPC) hard decision decoding algorithm and to reduce the complexity of decoding, a sum of the magnitude for hard decision decoding algorithm based on loop update detection is proposed. This will also ensure the reliability, stability and high transmission rate of 5G mobile communication. The algorithm is based on the hard decision decoding algorithm (HDA) and uses the soft information from the channel to calculate the reliability, while the sum of the variable nodes' (VN) magnitude is excluded for computing the reliability of the parity checks. At the same time, the reliability information of the variable node is considered and the loop update detection algorithm is introduced. The bit corresponding to the error code word is flipped multiple times, before this is searched in the order of most likely error probability to finally find the correct code word. Simulation results show that the performance of one of the improved schemes is better than the weighted symbol flipping (WSF) algorithm under different hexadecimal numbers by about 2.2 dB and 2.35 dB at the bit error rate (BER) of 10 over an additive white Gaussian noise (AWGN) channel, respectively. Furthermore, the average number of decoding iterations is significantly reduced.
为了提高非二进制低密度奇偶校验码（LDPC）硬判决译码算法的性能并降低译码复杂度，提出了一种基于循环更新检测的硬判决译码算法的幅度和算法。这也将确保5G移动通信的可靠性、稳定性和高传输速率。该算法基于硬判决译码算法（HDA），利用来自信道的软信息计算可靠性，同时在计算奇偶校验的可靠性时排除变量节点（VN）幅度的和。同时，考虑变量节点的可靠性信息并引入循环更新检测算法。对错误码字对应的比特进行多次翻转，然后按照最可能的错误概率顺序进行搜索，最终找到正确的码字。仿真结果表明，在加性高斯白噪声（AWGN）信道上，其中一种改进方案在误码率（BER）为10时，相对于加权符号翻转（WSF）算法，在不同十六进制数下性能分别提高约2.2 dB和2.35 dB。此外，译码迭代的平均次数显著减少。
