Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments
文献类型：期刊论文
| 作者 | Wang, Siyao2; Tu, Rui2; Li, Bofeng1; Zhang, Rui2; Fan, Lihong2; Han, Junqiang2; Lu, Xiaochun2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 15期号:2页码:16 |
| 关键词 | precise point positioning overlapping frequency signals ambiguity resolution high-shade situation |
| DOI | 10.3390/rs15020485 |
| 英文摘要 | Several global navigation satellite systems (GNSS) broadcast overlapping frequencies to enhance interoperability, allowing tight integration with only one reference satellite for every system with the same frequency. The key to realizing tight integration is estimating and utilizing differential intersystem biases, which allows the integer characteristic of the differenced ambiguity of two satellites from different systems to be retrieved. In this study, a detailed algorithm flow of a tight integration kinematic uncalibrated phase delay (UPD)-based PPP ambiguity resolution (PPP-AR) method, which includes multiple parts, is introduced. Subsequently, PPP-AR numerical experiments were conducted in a high-shade observation environment to determine the performance. In comparison with traditional methods, our results indicate that the average success fix rate improves from 83% to 100% after using the tight integration method in an environment where only three satellites are observed for each system. Moreover, for fewer than nine satellites, the tight integration method can still consistently maintain a fixed state. However, for comparison, the traditional loose integration method could no longer be implemented. |
| WOS关键词 | INTER-SYSTEM BIASES ; MULTI-GNSS ; GPS ; TIME ; RESOLUTION ; GLONASS ; GALILEO ; BEIDOU ; RTK |
| 资助项目 | National Science Foundation for Young Scientists of China[42104020] ; National Natural Science Funds of China[41674034] ; National Natural Science Funds of China[41974032] ; National Natural Science Funds of China[42274019] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000916379100001 |
| 资助机构 | National Science Foundation for Young Scientists of China ; National Science Foundation for Young Scientists of China ; National Natural Science Funds of China ; National Natural Science Funds of China ; National Science Foundation for Young Scientists of China ; National Science Foundation for Young Scientists of China ; National Natural Science Funds of China ; National Natural Science Funds of China ; National Science Foundation for Young Scientists of China ; National Science Foundation for Young Scientists of China ; National Natural Science Funds of China ; National Natural Science Funds of China ; National Science Foundation for Young Scientists of China ; National Science Foundation for Young Scientists of China ; National Natural Science Funds of China ; National Natural Science Funds of China |
| 源URL | [http://210.72.145.45/handle/361003/14352]  |
| 专题 | 国家授时中心_导航与通信研究室 |
| 通讯作者 | Tu, Rui |
| 作者单位 | 1.Tongji Univ, Coll Surveying & GeoInformat, Shanghai 200092, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Siyao,Tu, Rui,Li, Bofeng,et al. Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments[J]. REMOTE SENSING,2023,15(2):16. |
| APA | Wang, Siyao.,Tu, Rui.,Li, Bofeng.,Zhang, Rui.,Fan, Lihong.,...&Lu, Xiaochun.(2023).Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments.REMOTE SENSING,15(2),16. |
| MLA | Wang, Siyao,et al."Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments".REMOTE SENSING 15.2(2023):16. |
入库方式： OAI收割
来源：国家授时中心
浏览0
下载0
收藏0
其他版本
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。