An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data

doi:10.3390/s21010053

NTSC-IR

	An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data
	Lu, Yangwei 1; Ji, Shengyue 2; Tu, Rui 1; Weng, Duojie 3; Lu, Xiaochun1 ; Chen, Wu 3,4
	2021
发表期刊	SENSORS
卷号	21 期号:1 页码:21
摘要	The high precision positioning can be easily achieved by using real-time kinematic (RTK) and precise point positioning (PPP) or their augmented techniques, such as network RTK (NRTK) and PPP-RTK, even if they also have their own shortfalls. A reference station and datalink are required for RTK or NRTK. Though the PPP technique can provide high accuracy position data, it needs an initialisation time of 10-30 min. The time-relative positioning method estimates the difference between positions at two epochs by means of a single receiver, which can overcome these issues within short period to some degree. The positioning error significantly increases for long-period precise positioning as consequence of the variation of various errors in GNSS (Global Navigation Satellite System) measurements over time. Furthermore, the accuracy of traditional time-relative positioning is very sensitive to the initial positioning error. In order to overcome these issues, an improved time-relative positioning algorithm is proposed in this paper. The improved time-relative positioning method employs PPP model to estimate the parameters of current epoch including position vector, float ionosphere-free (IF) ambiguities, so that these estimated float IF ambiguities are used as a constraint of the base epoch. Thus, the position of the base epoch can be estimated by means of a robust Kalman filter, so that the position of the current epoch with reference to the base epoch can be obtained by differencing the position vectors between the base epoch and the current one. The numerical results obtained during static and dynamic tests show that the proposed positioning algorithm can achieve a positioning accuracy of a few centimetres in one hour. As expected, the positioning accuracy is highly improved by combining GPS, BeiDou and Galileo as a consequence of a higher amount of used satellites and a more uniform geometrical distribution of the satellites themselves. Furthermore, the positioning accuracy achieved by using the positioning algorithm here described is not affected by the initial positioning error, because there is no approximation similar to that of the traditional time-relative positioning. The improved time-relative positioning method can be used to provide long-period high precision positioning by using a single dual-frequency (L1/L2) satellite receiver.
关键词	GNSS satellite receivers positioning error positioning algorithm
资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission
DOI	10.3390/s21010053
语种	英语
资助项目	National Natural Science Foundation of China[4207 4028] ; National Natural Science Foundation of China[41674034] ; National Natural Science Foundation of China[41974032] ; Shandong Provincial Natural Science Foundation, China[ZR2 016DM15] ; Open Fund of State Key Laboratory of Earthquake Dynamics[LED2018B03] ; Shenzhen Science and Technology Innovation Commission[JCYJ20170818104822282]
资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Shandong Provincial Natural Science Foundation, China ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Open Fund of State Key Laboratory of Earthquake Dynamics ; Shenzhen Science and Technology Innovation Commission ; Shenzhen Science and Technology Innovation Commission
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000606114800001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/12111
专题	中国科学院国家授时中心
通讯作者	Weng, Duojie
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Peoples R China 2.China Univ Petr East China, Dept Surveying & Mapping, Qingdao 266580, Peoples R China 3.Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China 4.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong 999077, Peoples R China
推荐引用方式 GB/T 7714	Lu, Yangwei,Ji, Shengyue,Tu, Rui,et al. An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data[J]. SENSORS,2021,21(1):21.
APA	Lu, Yangwei,Ji, Shengyue,Tu, Rui,Weng, Duojie,Lu, Xiaochun,&Chen, Wu.(2021).An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data.SENSORS,21(1),21.
MLA	Lu, Yangwei,et al."An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data".SENSORS 21.1(2021):21.