复杂环境下5G

Research on Positioning Technology of 5G NR in Complex Environment

5G NR在可视(LOS)环境下可实现亚米级的高精度定位,但在实际复杂环境中,5G定位技术的研究较少。本文通过对Chan算法进行改进,在Chan-Taylor联合算法的基础上提出一种针对NLOS环境的5G NR的定位方法,最后得出结论,复杂环境下该定位方法仍然有较高的定位精度且NLOS环境下基于5G NR的Chan-Taylor融合算法相较于其他算法效果有更好的定位效果。

5G NR can achieve submeter-level high-precision positioning in line of sight(LOS)environment,but 5G positioning technology in the actual complex environment is scarcely investigated.In this paper,by improving the Chan algorithm,a 5G NR localization method for NLOS environment is proposed on the basis of Chan-Taylor joint algorithm,and it’s finally concluded that the positioning method still has a high positioning accuracy in complex environments,and the Chan-Taylor joint algorithm based on 5G NR in NLOS environment has abetter positioning effect than other algorithms.