A Sub-Regional Extraction Method of Common Mode Components from IGS and CMONOC Stations in China

  • 发布时间:[2020-04-30] 来源:[学院] 点击量:[94]
作者: Cui, JH (Cui, Jianhui); Yan, R (Yan, Rui); Deng, CL (Deng, Chenlong); Tang, WM (Tang, Weiming); Zou, X (Zou, Xuan); Shen, MX (Shen, Mingxing); Liu, Q (Liu, Qian); Wang, YW (Wang, Yawei); Li, YY (Li, Yangyang)
来源出版物: REMOTE SENSING  : 11  : 12  文献号: 1480  DOI: 10.3390/rs11121480  出版年: JUN 2 2019
摘要: The network real-time differential positioning technique is a good choice for meter and sub-meter level's navigation. More attention has been paid to the Global Positioning System (GPS) and GPS + GLONASS (GLObal NAvigation Satellite System) network real-time differential positioning, but less on the GPS + BDS (BeiDou Navigation Satellite System) combination. This paper focuses on the GPS + BDS network real-time differential positioning. Since the noise of pseudorange observation is large, carrier-phase-smoothed pseudorange is usually used in the network real-time differential positioning to improve the positioning accuracy, while it will be interrupted once the satellite signal is lost or a cycle slip occurs. An improved algorithm in the position domain based on position variation information is proposed. The improved method is immune to the smoothing window and only depends on the number of available satellites. The performance of the network real-time differential positioning using the improved method is evaluated. The performance of GPS + BDS combination is compared with GPS-only solution as well. The results show that the positioning accuracy can be increased by around 10%-40% using the improved method compared with the traditional one. The improved method is less affected by the satellite constellation. The positioning accuracy of GPS + BDS solution is better than that of GPS-only solution, and can reach up to 0.217 m, 0.159 m and 0.330 m in the north, east and up components for the static user station, and 0.122 m, 0.133 m and 0.432 m for the dynamic user station. The positioning accuracy variation does not only depend on whether the user is inside or outside the network, but also on the position relation between the user and network.

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