Performance Analysis of Ionosphere Monitoring with BeiDou CORS Observational Data

Tang, Wei; Jin, Lei; Xu, Kun

doi:10.1017/s0373463313000854

Cited by 21 publications

(16 citation statements)

References 8 publications

(10 reference statements)

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“…Unlike the GPS whose constellation consists only of Medium Earth Orbit (MEO) satellites, the BDS constellation is comprised of MEO, Geostationary Orbit (GEO) as well as Inclined Geosynchronous Orbit (IGSO) satellites (Montenbruck et al 2013). Nowadays, the use of the BDS to study the ionosphere is continuously expanding (Jin et al 2016;Li et al 2012;Tang et al 2014;Xue et al 2015;. …”

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confidence: 99%

On the short-term temporal variations of GNSS receiver differential phase biases

Zhang

Teunissen

Yuan

2016

J Geod

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Abstract. As a first step towards studying the ionosphere with the Global Navigation Satellite System (GNSS), leveling the phase to the code geometry-free observations on an arc-by-arc basis yields the ionospheric observables, interpreted as a combination of slant total electron content along with satellite and receiver Differential Code Biases (DCB). The leveling errors in the ionospheric observables may arise during this procedure, which, according to previous studies by other researchers, are due to the combined effects of the code multipath and the intra-day variability in the receiver DCB. In this paper we further identify the short-term temporal variations of receiver Differential Phase Biases (DPB) as another possible cause of leveling errors. Our investigation starts by the development of a method to epoch-wise estimate Between-Receiver DPB (BR-DPB) employing (inter-receiver) single-differenced, phase-only 2GNSS observations collected from a pair of receivers creating a zero or short baseline. The key issue for this method is to get rid of the possible discontinuities in the epoch-wise BR-DPB estimates, occurring when satellite assigned as pivot changes. Our numerical tests, carried out using GPS (Global Positioning System, US GNSS) and BDS (BeiDou Navigation Satellite System, Chinese GNSS) observations sampled every 30 seconds by a dedicatedly selected set of zero and short baselines, suggest two major findings. First, epoch-wise BR-DPB estimates can exhibit remarkable variability over a rather short period of time (e.g. 6 centimeters over 3 hours), thus significant from a statistical point of view. Second, a dominant factor driving this variability is the changes of ambient temperature, instead of the un-modelled phase multipath.

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confidence: 99%

On the short-term temporal variations of GNSS receiver differential phase biases

Zhang

Teunissen

Yuan

2016

J Geod

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“…Within the positioning area, multiple base stations constitute the continuously operating reference stations (CORS) system [23]. All of the correction value of different base stations should be sent to data center to calculate the more suitable final value that corrects the mobile station, called the DCDP method.…”

Section: The Carrier Phase Differential Positioning Principle With Thmentioning

confidence: 99%

Fog Computing‐Based Differential Positioning Method for BDS

Wang

2018

Wireless Communications and Mobile Computing

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As one of the four global satellite navigation and positioning systems, BeiDou satellite navigation system (BDS) has received increasingly more attention. The differential positioning technology of BDS has greatly enhanced its accuracy and meets the needs of high-precision applications, but its positioning time still has much room for improvement. Fog computing allows the use of its services with low latency and mobility support to make up for the disadvantages of differential positioning algorithm. The paper proposes the fog computing-based differential positioning (FCDP) method which introduces fog computing technology to BDS. Compared with the original data center-based differential positioning (DCDP) method, the simulation results demonstrate that the FCDP method decreases the latency of positioning, while assuring the positioning accuracy.

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“…Compared to the standard RTK, one of the main advantages of NRTK is that its working range can be extended to 100 km or even larger [3]. Thus, it has been widely used in such high-precision positioning areas as control survey, topographic mapping, construction layout, deformation monitoring, and other applications [4].…”

Section: Introductionmentioning

confidence: 99%

The Comparison and Analysis of BDS NRTK between DD and UD Models

Liu

et al. 2018

J Inst Navig

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The BeiDou Navigation Satellite System (BDS) Network Real Time Kinematic (NRTK) position algorithm with both Double-Differenced (DD) model and Un-Differenced (UD) model is investigated in this study. This algorithm is realized and validated with experimental BDS data collected at four regional stations. For the experiment within the regional network, a short convergence time for each model is considered. The results show that the BDS NRTK is able to provide positioning service with accuracy at the cm level. Theoretically, UD-NRTK and DD-NRTK are equivalent to each other. The small differences found between the DD and UD models in this study can be clarified in that the error correction for the DD model is more precise than that for the UD model, resulting in faster solution convergence in the DD model. However, the noise of the DD model is two times of the UD model, which usually leads to larger final RMS of positioning accuracy for the DD model.

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Performance Analysis of Ionosphere Monitoring with BeiDou CORS Observational Data

Cited by 21 publications

References 8 publications

On the short-term temporal variations of GNSS receiver differential phase biases

On the short-term temporal variations of GNSS receiver differential phase biases

Fog Computing‐Based Differential Positioning Method for BDS

The Comparison and Analysis of BDS NRTK between DD and UD Models

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