当前位置: X-MOL 学术PLOS ONE › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments.
PLOS ONE ( IF 3.7 ) Pub Date : 2021-05-06 , DOI: 10.1371/journal.pone.0250930
Haoqiang Liu 1 , Hongbo Zhao 1, 2 , Xiaowen Chen 1 , Wenquan Feng 1
Affiliation  

Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude "spikes". At this time, the conventional Gaussian noise assumption is inadequate. The impulsive component of interference has been found to be significant which influences the reliability of transmitted information. Therefore the LDPC decoding algorithms for AWGN channel are not suitable for impulsive noise environments. Consider that LDPC codes over GF(q) perform better than binary LDPC in resisting burst errors for current navigation system, it is necessary to conduct research on LDPC codes over GF(q). In this paper, an optimized initialization by calculating posterior probabilities of received symbols is proposed for non-binary LDPC decoding on additive white Class A noise (AWAN) channel. To verify the performance of the proposed initialization, extensive experiments are performed in terms of convergence, validity, and robustness. Preliminary results demonstrate that the decoding algorithm with the optimized initialization for non-binary LDPC codes performs better than the competing methods and that of binary LDPC codes on AWAN channel.

中文翻译:

在脉冲噪声环境中通过GF(q)进行LDPC解码的优化初始化。

现代导航卫星通信具有传输速率高的特点。为了避免数据传输中的位错误,低密度奇偶校验(LDPC)码被广泛认为是导航通信的有效方法。常规地,LDPC解码被应用于加性高斯白噪声(AWGN)信道,并且在面对脉冲噪声时严重劣化。然而,由于高振幅“尖峰”的出现,导航通信经常遭受脉冲干扰。此时,常规的高斯噪声假设是不充分的。已经发现干扰的脉冲分量很重要,这影响了传输信息的可靠性。因此,用于AWGN信道的LDPC解码算法不适用于脉冲噪声环境。考虑到在当前导航系统中,针对GF(q)的LDPC码在抵抗突发错误方面比二进制LDPC性能更好,因此有必要对基于GF(q)的LDPC码进行研究。本文针对加性白色A类噪声(AWAN)信道上的非二进制LDPC解码,提出了一种通过计算接收符号的后验概率进行的优化初始化。为了验证所提出的初始化的性能,在收敛性,有效性和鲁棒性方面进行了广泛的实验。初步结果表明,在AWAN信道上,具有针对非二进制LDPC码的优化初始化的解码算法在性能上优于竞争方法和二进制LDPC码。有必要对GF(q)上的LDPC码进行研究。本文针对加性白色A类噪声(AWAN)信道上的非二进制LDPC解码,提出了一种通过计算接收符号的后验概率进行的优化初始化。为了验证所提出的初始化的性能,在收敛性,有效性和鲁棒性方面进行了广泛的实验。初步结果表明,在AWAN信道上,具有针对非二进制LDPC码的优化初始化的解码算法在性能上优于竞争方法和二进制LDPC码。有必要对GF(q)上的LDPC码进行研究。本文针对加性白色A类噪声(AWAN)信道上的非二进制LDPC解码,提出了一种通过计算接收符号的后验概率进行的优化初始化。为了验证所提出的初始化的性能,在收敛性,有效性和鲁棒性方面进行了广泛的实验。初步结果表明,在AWAN信道上,具有针对非二进制LDPC码的优化初始化的解码算法在性能上优于竞争方法和二进制LDPC码。为了验证所提出的初始化的性能,在收敛性,有效性和鲁棒性方面进行了广泛的实验。初步结果表明,在AWAN信道上,具有针对非二进制LDPC码的优化初始化的解码算法在性能上优于竞争方法和二进制LDPC码。为了验证所提出的初始化的性能,在收敛性,有效性和鲁棒性方面进行了广泛的实验。初步结果表明,在AWAN信道上,具有针对非二进制LDPC码的优化初始化的解码算法在性能上优于竞争方法和二进制LDPC码。
更新日期:2021-05-06
down
wechat
bug