Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments

doi:10.3390/rs15020485

NTSC-IR > 导航与通信研究室

	Tight Integration Kinematic PPP-AR Using GPS/Galileo/QZSS Overlapping Frequency Signals and Its Performance in High-Shade Environments
	Wang, Siyao 1; Tu, Rui 1; Li, Bofeng 2; Zhang, Rui 1; Fan, Lihong 1; Han, Junqiang 1; Lu, Xiaochun 1
	2023
发表期刊	REMOTE SENSING
卷号	15 期号:2 页码:16
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.
关键词	precise point positioning overlapping frequency signals ambiguity resolution high-shade situation
资助者	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
DOI	10.3390/rs15020485
关键词[WOS]	INTER-SYSTEM BIASES ; MULTI-GNSS ; GPS ; TIME ; RESOLUTION ; GLONASS ; GALILEO ; BEIDOU ; RTK
语种	英语
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]
资助者	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
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000916379100001
出版者	MDPI
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/14352
专题	导航与通信研究室
通讯作者	Tu, Rui
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Tongji Univ, Coll Surveying & GeoInformat, Shanghai 200092, 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.