| 5G assisted GNSS precise point positioning ambiguity resolution | |
| Li, Fangxin2,3; Tu, Rui1,2,3; Zhang, Pengfei2,3; Zhang, Rui2,3; Fan, Lihong2,3; Wang, Siyao2,3; Lu, Xiaochun2,3 | |
| 2024-05-01 | |
| 发表期刊 | JOURNAL OF GEODESY
 |
| ISSN | 0949-7714 |
| 卷号 | 98期号:5页码:13 |
| 摘要 | This study proposes a model using 5G time-of-arrival data to assist global navigation satellite system precise point positioning ambiguity resolution. Specifically, the model addresses the problem of PPP requiring a long convergence time in partially satellite-occluded GNSS environments, such as urban canyons. First, we apply the ionosphere-free PPP model to estimate uncalibrated phase delays. Next, we combine real 5G data with GNSS data to determine whether introducing 5G observations will decrease the convergence time of the PPP solution. Experimental results reveal that the 5G-assisted PPP model can effectively improve the convergence efficiency of the float solution, lower the fixed time, and achieve greater positional reliability. Notably, the combination of GPS, BDS, and 5G with a sampling interval of 1 s obtains a fixed solution in an average of 1.12 min. Moreover, 5G-assisted GNSS positioning effectively compensates for partial satellite occlusion, optimizes the PDOP value, and speeds up ambiguity fixing. The introduction of three and more 5G base stations helps to obtain fixed solutions within 9 min when it is difficult to obtain fixed solutions relying only on GNSS. Our findings have important implications for improving the widespread applicability and effectiveness of satellite-based navigation systems in light of increasing urbanization and the rise of signal-occluding environments. |
| 关键词 | 5G Global navigation satellite system Precise point positioning Uncalibrated phase delay Ambiguity resolution Convergence time |
| 资助者 | Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| DOI | 10.1007/s00190-024-01850-5 |
| 关键词[WOS] | GPS ; PPP |
| 语种 | 英语 |
| 资助项目 | Innovative Research Group Project of the National Natural Science Foundation of China[41974032] ; Innovative Research Group Project of the National Natural Science Foundation of China[42274019] ; National Natural Science Foundation of China |
| 资助者 | Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; Innovative Research Group Project of the National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| WOS研究方向 | Geochemistry & Geophysics ; Remote Sensing |
| WOS类目 | Geochemistry & Geophysics ; Remote Sensing |
| WOS记录号 | WOS:001219648000003 |
| 出版者 | SPRINGER |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://210.72.145.45/handle/361003/14617 |
| 专题 | 导航与通信研究室 |
| 通讯作者 | Tu, Rui |
| 作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qian Wan Rd, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Peoples R China 3.Univ Chinese Acad Sci, Yu Quan Rd, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Fangxin,Tu, Rui,Zhang, Pengfei,et al. 5G assisted GNSS precise point positioning ambiguity resolution[J]. JOURNAL OF GEODESY,2024,98(5):13. |
| APA | Li, Fangxin.,Tu, Rui.,Zhang, Pengfei.,Zhang, Rui.,Fan, Lihong.,...&Lu, Xiaochun.(2024).5G assisted GNSS precise point positioning ambiguity resolution.JOURNAL OF GEODESY,98(5),13. |
| MLA | Li, Fangxin,et al."5G assisted GNSS precise point positioning ambiguity resolution".JOURNAL OF GEODESY 98.5(2024):13. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论