对流层散射信道中5G-NR LDPC码性能

由于目前衰落信道，特别是时变信道非线性环境下的研究极少，因此研究对流层散射信道应用场景下的5G-NR LPDC编译码性能。5G-NR LDPC码是一种准循环LDPC码，其通过基矩阵构造，可以支持多种码率和码长，便于实现速率自适应。本文提出一种改进的分层归一化最小和译码算法，利用对归一化因子的修正，使该算法更适合应用于散射信道。仿真结果表明，本文算法与传统译码方法相比，译码速度提高了3倍，减少了迭代次数，降低了复杂度；使用16重分集技术且误码率达到10-5时，在低码率和高码率下，改进译码算法比传统译码算法性能分别提升1.3 dB左右和0.6 dB左右。

Performance of 5G-NR LDPC Code in Troposcatter Channel

This paper researches the encoding and decoding performance of 5G-NR LPDC in troposcatter channel， because of the lack of research on fading channel, especially in the nonlinear environment of time-varying channels. The 5G-NR LDPC code is classified as a quasi-cyclic LDPC code. Compared with the traditional coding scheme, it can support a variety of code rates and code lengths through the construction of the basis matrix, which is easy to realize rate-adaptive. This paper proposes a modified layered normalized minimum sum decoding algorithm, by modifying the normalization factor, which is more suitable for scattering channels. The simulation results show that compared with the traditional decoding method, the proposed algorithm improves the decoding speed by 3 times, reduces the number of iterations and reduces the complexity; and the performance of the proposed algorithm is improved by about 1.3 dB and 0.6 dB, respectively, either at low or high bit rates when the bit error rate reaches 10-5 under 16-diversity.