Contribution of the Compass satellite navigation system to global PNT users

Yang, Yuanxi; Li, Jinlong; Xu, Jin; Jing, Tang; Guo, Hang; He, Haibing

doi:10.1007/s11434-011-4627-4

Cited by 262 publications

(121 citation statements)

References 3 publications

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“…A similar study was conducted by Yang et al [19], based on simulation, which has shown the enhancement in the satellite visibility, the availability and the DOP values thanks to the contribution of BeiDou to different combinations. It was found that GDOP and PDOP can be improved by 50% when BeiDou was combined with GPS.…”

Section: Introductionmentioning

confidence: 54%

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

et al. 2017

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GPS is the positioning tool of choice for a wide variety of applications where accurate (cm level or less) positions are required. However GPS is susceptible to a variety of errors that degrade both the quality of the position solution and the availability of these solutions.The contribution of additional observations from other GNSS systems may improve the quality of the positioning solution. This study investigates the contribution of the GLONASS and BeiDou systems and the potential improvement to the precision achieved compared to positioning using GPS only measurements. Furthermore, it is investigated whether the combination of the satellite systems can limit the noise level of the GPS-only solution. A series of zero-baseline measurements, of 1Hz sampling rate, were recorded with different types of pairs of receivers over 12 consecutive days in the UK and in China simultaneously.The novel part in this study is comparing the simultaneous GNSS real measurements recorded in the UK and China. Moreover, the correlation between the geometry and positional precision was investigated.The results indicate an improvement in a multi-GNSS combined solution compared to the GPS-only solution, especially when the GPS-only solution derives from weak satellite geometry, or the GPS-only solution is not available. Furthermore, all the outliers due to poor satellite coverage with the individual solutions are limited and their precision is improved, agreeing also with the improvement in the mean of the GDOP, i.e. the mean GDOP was improved from 3.0 for the GPS only solution to 1.8 for the combined solution.However, the combined positioning did not show significant positional improvement when GPS has a good geometry and availability.2

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Section: Introductionmentioning

confidence: 54%

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

et al. 2017

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“…The Geometric Dilution of Precision (GDOP) is an important parameter utilised in the propagation of random error (noise) in measurements of the noise levels of the unknown (solved for) parameters (Yang et al, 2011), and it is a quality measure to specify the additional multiplicative affect of measurement error on the positioning accuracy and the timing accuracy. Actually, the GDOP can be divided into the PDOP (Position Dilution Of Precision) and (Time Dilution Of Precision).…”

Section: Introduction the Future Of Global Navigation Satellite Systmentioning

confidence: 99%

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

Teng

Wang

2015

J. Navigation

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Precision TDOP) are quality measures to specify the additional multiplicative affect of measurement error on positioning accuracy and the timing accuracy, respectively. Considering the dimension of the unknown vector (including the three-dimensional positioning information of the receiver as well as the receiver clock biases related to these single constellations), this paper theoretically derives new formulae to describe the change of PDOP and TDOP. In addition, the detailed expressions of the variable quantity of the PDOP and TDOP are also obtained. The results show that if the dimension of the unknown vector is invariant in case of removing one or more satellites belonging to the existing tracked multi-GNSS constellations, both the PDOP and TDOP increase. On the other hand, if removing satellites reduces the dimension of the unknown vector, the PDOP neither increases nor decreases. However, the change of the TDOP is different, and it becomes smaller. K E Y

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“…Following the emergence and rapid development of other GNSS, i.e. GLObal NAvigation Satellite System (GLONASS), Galileo and the BeiDou Navigation Satellite System (BDS), GNSS are now stepping into a new era (Yang et al, 2011). With at least 70 to 80 visible GNSS satellites in the sky today, signals from at least 10 to 30 satellites could be received anywhere (excluding the North and South Poles) in the world.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Optimising GNSS Positioning Performance in Harsh Observation Environments

et al. 2014

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Maintaining good positioning performance has always been a challenging task for Global Navigation Satellite Systems (GNSS) applications in partially obstructed environments. A method that can optimise positioning performance in harsh environments is proposed. Using a carrier double-difference (DD) model, the influence of the satellite-pair geometry on the correlation among different equations has been researched. This addresses the critical relationship between DD equations and its ill-posedness. From analysing the collected multiconstellation observations, a strong correlation between the condition number and the positioning standard deviation is detected as the correlation coefficient is larger than 0·92. Based on this finding, a new method for determining the reference satellites by using the minimum condition number rather than the maximum elevation is proposed. This reduces the ill-posedness of the co-factor matrix, which improves the single-epoch positioning solution with a fixed DD ambiguity. Finally, evaluation trials are carried out by masking some satellites to simulate common satellite obstruction scenarios including azimuth shielding, elevation shielding and strip shielding. Results indicate the proposed approach improves the positioning stability with multi-constellation satellites notably in harsh environments. K E Y

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Contribution of the Compass satellite navigation system to global PNT users

Cited by 262 publications

References 3 publications

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

Some Remarks on PDOP and TDOP for Multi-GNSS Constellations

A New Approach for Optimising GNSS Positioning Performance in Harsh Observation Environments

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