GNSS Receiver Zero Baseline Test Using GPS Signal Generator

Dróżdż, Magdalena; Szpunar, R.

doi:10.2478/v10018-012-0010-1

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…Hence, the GPS/GNSS zero‐baseline time series vary around zero, expressing the impact of the errors due to the geometry of the satellite constellation, amplified by the receiver noise 35 . The zero‐baseline measurements are an approach which has been adopted in many studies for the modelling of the GPS receivers noise and the impact of the satellite constellation 37,38 . In our study, the GNSS base station, apart from reference station for the GNSS stations deployed on the bridge, was also connected to a second GNSS receiver to carry out the zero‐baseline measurements.…”

Section: Methodsmentioning

confidence: 99%

“…35 The zero-baseline measurements are an approach which has been adopted in many studies for the modelling of the GPS receivers noise and the impact of the satellite constellation. 37,38 In our study, the GNSS base station, apart from reference station for the GNSS stations deployed on the bridge, was also connected to a second GNSS receiver to carry out the zerobaseline measurements.…”

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confidence: 99%

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Monitoring the response of Severn Suspension Bridge in the United Kingdom using multi‐GNSS measurements

Msaewe

Psimoulis

Hancock

et al. 2021

Structural Contr & Hlth

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The application of GPS in bridge monitoring aims to determine accurately and precisely the response of the deck and towers of the bridge and estimate the main response characteristics (amplitude and modal frequencies). The main requirement of GPS monitoring is a high level of accuracy and availability of fixed solutions, which ensure the reliable operation of GPS and result in the precise estimation of the bridge's response. However, the derived GPS time series of bridge monitoring can be contaminated by noise, due to the performance of the GPS satellite(s), the geometry of the GPS satellite constellation and the potential obstructions due to the bridge elements, which can even lead to GPS solution of poor accuracy and/or precision and result in reduced efficiency of the performance of the GPS monitoring. This study investigates the potential contribution of other Global Navigation Satellite Systems (GNSS) constellations for a more robust and reliable displacement time series solution, derived from multi-GNSS records. More specifically, a novel method is developed to derive the optimal combination of GNSS records to determine the GNSS displacement time series based on checks of parameters which reflect the geometry of the satellite constellation and the quality of the GNSS satellites signals. The method is applied in monitoring of the Severn Suspension Bridge, in the United Kingdom, and it is revealed the enhancement in the GNSS monitoring performance of the bridge response for specific time intervals for various locations on the bridge's support towers, suspension cables and deck.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Monitoring the response of Severn Suspension Bridge in the United Kingdom using multi‐GNSS measurements

Msaewe

Psimoulis

Hancock

et al. 2021

Structural Contr & Hlth

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show abstract

“…ionosphere and troposphere effects) and multipath [22,23]. Thus, the remaining error of the GNSS solution is due to the geometry of the satellite constellations and the noise of the GNSS receiver [24]. Furthermore, potential impact of BeiDou inter-satellite-type biases (ISTBs) between different types of BeiDou satellites occurs in case of using different GNSS receivers, affecting also the ambiguity resolution of the GNSS records process [25], which is not though the case of our measurements since, similar receivers are used for each pair of receivers.…”

Section: Introductionmentioning

confidence: 99%

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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“…The evaluation was done with the zero baseline test and also with a short baseline test, where for the latter, harmonic functions were used to compensate for the multipath error. In the case of Dróżdż and Szpunar [ 30 ], the noise of observations was determined with a signal simulator, and the results indicated that the quality of observations may vary among different receiver types. The study by Han et al [ 31 ] used an signal-to-noise-dependent environmental model, where observation weights are determined based on the satellite elevation angle in order to reduce the noise in harsh environments.…”

Section: Introductionmentioning

confidence: 99%

Testing the Performance of Multi-Frequency Low-Cost GNSS Receivers and Antennas

Hamza

Stopar

Sterle

2021

Sensors

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Global Navigation Satellite System (GNSS) low-cost multi-frequency receivers are argued as an alternative to geodetic receivers for many applications. Calibrated low-cost antennas recently became available on the market making low-cost instruments more comparable with geodetic ones. The main goal of this research was to evaluate the noise of low-cost GNSS receivers, to compare the positioning quality from different types of low-cost antennas, and to analyze the positioning differences between low-cost and geodetic instruments. The results from a zero baseline test indicated that the u-blox multi-frequency receiver, namely, ZED-F9P, had low noise that was at the sub-millimeter level. To analyze the impact of the antennas in the obtained coordinates, a short baseline test was applied. Both tested uncalibrated antennas (Tallysman TW3882 and Survey) demonstrated satisfactory positioning performance. The Tallysman antenna was more accurate in the horizontal position determination, and the difference from the true value was only 0.1 mm; while, for the Survey antenna, the difference was 1.0 mm. For the ellipsoid height, the differences were 0.3 and 0.6 mm for the Survey and Tallysman antennas, respectively. The comparison of low-cost receivers with calibrated low-cost antennas (Survey Calibrated) and geodetic instruments proved better performance for the latter. The geodetic GNSS instruments were more accurate than the low-cost instruments, and the precision of the estimated coordinates from the geodetic network was also greater. Low-cost GNSS instruments were not at the same level as the geodetic ones; however, considering their cost, they demonstrated excellent performance that is sufficiently appropriate for various geodetic applications.

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GNSS Receiver Zero Baseline Test Using GPS Signal Generator

Cited by 4 publications

References 1 publication

Monitoring the response of Severn Suspension Bridge in the United Kingdom using multi‐GNSS measurements

Monitoring the response of Severn Suspension Bridge in the United Kingdom using multi‐GNSS measurements

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

Testing the Performance of Multi-Frequency Low-Cost GNSS Receivers and Antennas

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