Study on Model and Real-Time Timing Based on Modified Uncombined Precise Point Positioning (MPPP)

doi:10.11871/jfdc.issn.2096-742X.2022.04.010

Abstract

Abstract:

[Objective] Time transfer technology based on precise point positioning (PPP) is the dominant method in GNSS time transfer because of its high precision and wide coverage. However, it is found in practice that the short-time variation of receiver code biases (RCBs) within a day is one of the main deviations that affect the accuracy of receiver clock offset estimation. [Methods] Therefore, a modified precise point positioning model (MPPP) is proposed in this paper, in which the RCBs are estimated as time-varying parameters, and the method is verified based on simulated and measured data. [Results] The results show that the timing accuracy of MPPP can reach 0.1~1ns, and the accuracy can be improved by more than 30% compared with PPP under the same conditions, [Conclusions] which can effectively overcome the influence of RCB changes on real-time timing.

Key words: GNSS timing, precise point positioning, real-time timing, receiver code biases, receiver clock offset

ZHANG Xiao,ZHAO Chuanbao,LIU Yang. Study on Model and Real-Time Timing Based on Modified Uncombined Precise Point Positioning (MPPP)[J]. Frontiers of Data and Computing, 2022, 4(4): 103-113, https://cstr.cn/32002.14.jfdc.CN10-1649/TP.2022.04.010.

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References 15

[1]	杨元喜, 杨诚, 任夏. PNT智能服务[J]. 测绘学报, 2021, 50(08):1006-1012.
[2]	ZUMBERGE J F, HEFLIN M B, JEFFERSON D C, et al. Precise point positioning for the efficient and robust analysis of GPS data from large networks[J]. Journal of Geophysical Research Solid Earth, 1997, 102(B3): 5005-17.
[3]	Orgiazzi D, Tavella P, Lahaye F. Experimental assessment of the time transfer capability of precise point positioning (PPP)[C]// Proceedings of the 2005 IEEE International Frequency Control Symposium and Exposition, IEEE, 2005: 337-345.
[4]	张立. 基于北斗PPP的国际时间传递初步研究[D]. 北京: 中国科学院大学, 2017.
[5]	Tu R, Zhang P, Zhang R, et al. Modeling and perfor-mance analysis of precise time transfer based on BDS triple-frequency un-combined observations[J]. Journal of Geodesy, 2019, 93(6): 837-847. doi: 10.1007/s00190-018-1206-3
[6]	Ge Y, Zhou F, Liu T, et al. Enhancing real-time precise point positioning time and frequency transfer with recei-ver clock modeling[J]. GPS Solutions, 2019, 23(1): 1-14. doi: 10.1007/s10291-018-0792-0
[7]	张小红, 蔡诗响, 李星星, 郭斐. 利用GPS精密单点定位进行时间传递精度分析. 武汉大学学报(信息科学版), 2010, 35(3): 26-30.
[8]	张宝成. GNSS非差非组合精密单点定位的理论方法与应用研究[J]. 测绘学报, 2014, 43(010): 1099-1099.
[9]	闫伟, 袁运斌, 欧吉坤, 李得海. 非组合精密单点定位算法精密授时的可行性研究. 武汉大学学报(信息科学版), 2011, 036 (6): 648-651.
[10]	Kao S, Tu Y, Chen W, Weng DJ, Ji SY. Factors affecting the estimation of GPS receiver instrumental biases[J]. Survey Review, 2013, 45 (328): 59-67. doi: 10.1179/1752270612Y.0000000022
[11]	Zhang B, Yuan Y, Ou J. Short-term temporal variability of GPS receiver's differential code biases (DCB): retrieving and modeling[J]. Chinese Journal of Geophysics, 2016, 59 (1): 101-115. doi: 10.1002/cjg2.20217
[12]	Collins P, Bisnath S, Lahaye F, et al. Undifferenced GPS ambiguity resolution using the decoupled clock model and ambiguity datum fixing[J]. NAVIGATION, Journal of the Institute of Navigation, 2010, 57(2): 123-135. doi: 10.1002/j.2161-4296.2010.tb01772.x
[13]	Liu S, Yuan Y. Generating GPS decoupled clock products for precise point positioning with ambiguity resolution[J]. Journal of Geodesy, 2022, 96(1): 1-14. doi: 10.1007/s00190-021-01590-w
[14]	Petovello M G, Lachapelle G. Estimation of clock stability using GPS[J]. GPS Solutions, 2000, 4(1): 21-33. doi: 10.1007/PL00012825
[15]	Ciraolo L, Azpilicueta F, Brunini C, et al. Calibration errors on experimental slant total electron content (TEC) determined with GPS[J]. Journal of Geodesy, 2007, 81(2): 111-120. doi: 10.1007/s00190-006-0093-1

测站	接收机类型	时频参考	观测时间	备注
BRUX	SEPT POLARX4TR	氢钟	13-15,2019	比利时皇家天文台
SYDN	SEPT POLARX4TR	铯钟	13-15,2019	澳洲国家计量研究所
BALA	TRIMBLE NETR9	内部时频	13-15,2019	GNSS参考站
JLCK	TRIMBLE NETR9	内部时频	13-15,2019	GNSS参考站

测站	RT-PPP				改善幅度
测站	RMS	BIAS	RMS	BIAS	改善幅度
SYDN	0.16	0.17	0.11	0.1	31.3%
BRUX	0.09	-0.07	0.06	0.05	33.3%
BALA	5.45	4.91	1.01	0.77	81.5%
JLCK	1.94	0.47	0.32	-0.12	83.5%

平均时间（s）	授时测站
平均时间（s）	SYDN	BRUX	BALA	JLCK
30	0.15%	4.21%	1.57%	1.35%
60	0.12%	5.78%	1.38%	1.20%
120	0.05%	4.39%	1.63%	1.87%
240	0.31%	3.41%	2.06%	2.05%
480	0.28%	1.90%	2.99%	2.89%
960	0.38%	1.71%	4.25%	4.09%
1920	0.92%	0.92%	5.57%	5.54%
3840	0.27%	0.21%	7.75%	7.41%
7680	0.08%	1.63%	10.08%	8.94%
15360	0.12%	2.75%	13.12%	7.81%
30720	0.38%	2.13%	25.31%	15.66%
61440	0.31%	6.57%	14.09%	43.00%