Use of Global and Regional Ionosphere Maps for Single-Frequency Precise Point Positioning

Le, A.Q.; Tiberius, C.C.J.M.; Marel, H. van der; Jakowski, N.

doi:10.1007/978-3-540-85426-5_87

Cited by 15 publications

(6 citation statements)

References 3 publications

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“…The RMS of slant ionospheric delays' difference at L1 frequency is 0.61 m, which is about 3.7 TECU. However, GIM, a widely accepted ionospheric delay model, has been fully validated by many technologies and data, and been proved that its RMS is about 2∼8 TECU (Le et al [ 28 ]; Hernández-Pajares et al [ 23 ]). Therefore the PPP derived ionosphere slant delay is reasonable.…”

Section: Igs Data Analysismentioning

confidence: 99%

On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations

Zhang

Гао

et al. 2013

Sensors

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Precise Point Positioning (PPP) has become a very hot topic in GNSS research and applications. However, it usually takes about several tens of minutes in order to obtain positions with better than 10 cm accuracy. This prevents PPP from being widely used in real-time kinematic positioning services, therefore, a large effort has been made to tackle the convergence problem. One of the recent approaches is the ionospheric delay constrained precise point positioning (IC-PPP) that uses the spatial and temporal characteristics of ionospheric delays and also delays from an a priori model. In this paper, the impact of the quality of ionospheric models on the convergence of IC-PPP is evaluated using the IGS global ionospheric map (GIM) updated every two hours and a regional satellite-specific correction model. Furthermore, the effect of the receiver differential code bias (DCB) is investigated by comparing the convergence time for IC-PPP with and without estimation of the DCB parameter. From the result of processing a large amount of data, on the one hand, the quality of the a priori ionosphere delays plays a very important role in IC-PPP convergence. Generally, regional dense GNSS networks can provide more precise ionosphere delays than GIM and can consequently reduce the convergence time. On the other hand, ignoring the receiver DCB may considerably extend its convergence, and the larger the DCB, the longer the convergence time. Estimating receiver DCB in IC-PPP is a proper way to overcome this problem. Therefore, current IC-PPP should be enhanced by estimating receiver DCB and employing regional satellite-specific ionospheric correction models in order to speed up its convergence for more practical applications.

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Section: Igs Data Analysismentioning

confidence: 99%

On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations

Zhang

Гао

et al. 2013

Sensors

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“…IONEX maps are used to compare the performance of ionospheric activity monitoring software to IGS (for example, the processing described in [8] and [9]). In fact, accurate ionospheric representation was the main motivation for developing the IONEX module.…”

Section: Ionospheric Errormentioning

confidence: 99%

Software simulation of multiple Global Navigation Satellite System measurements

Dolgansky

Szeto

Bisnath

2009

2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH)

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The research discussed in this paper addresses the question of how to simulate realistic observables from current and pending Global Navigation Satellite Systems (GNSSs) in a way that is independent of the characteristics of specific systems. The generated observables can be used to predict future multi-GNSS performance and aid in the development of enhanced processing algorithms. This paper introduces a software simulator package called Multi-GNSS Observables Simulator (MGOS), which has been developed to generate pseudorange and carrier-phase measurements for the GPS, GLONASS, Galileo and Compass constellations. The key component of MGOS is its error source library. It has been developed to simulate the most common GNSS errors (such as orbit, atmospheric, clock, and hardware errors) for all aforementioned GNSSs.

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“…These products are required both in scientific applications and in practical services. Among others, for the monitoring of space weather events such as solar flares, solar energetic particles events and coronal mass ejections (Meza et al, 2009;VanZele and Meza, 2011;Monte-Moreno and Hernández-Pajares, 2014;Wang et al, 2018), also for reliable high frequency (HF) communications along short-, medium-and long-range paths, and for satellite communication, navigation, and positioning systems (Gao et al, 2006;Le et al, 2009). Therefore, continuous monitoring of the spatial and temporal variations of ionized plasma parameters, such as the F 2 layer peak electron density, N m F 2 , and TEC, are of particular interest.…”

Section: Introductionmentioning

confidence: 99%

Near-real-time VTEC maps: New contribution for Latin America Space Weather

Mendoza

Meza

Paz

2020

Advances in Space Research

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The development of regional services able to provide ionospheric vertical total electron content (VTEC) maps and ionospheric indexes with a high spatial resolution, and in near-real-time, are of great importance for both civilian applications and the research community. We provide here the methodologies, and an assessment, of such a system. It relies on the public Global Navigational Satellite Systems (GNSS) infrastructure in South America, incorporates data from multiple constellations (currently GPS, GLONASS, Galileo and BeiDou), employs multiple frequencies, and produces continental wide VTEC maps with a latency of just a few minutes. To assess the ability of our system to model the ionospheric behavior we performed a yearround intercomparison between our near-real-time regional VTEC maps, and VTEC maps of verified quality produced by several referent analysis centers, resulting in mean biases lower than 1 TEC units (TECU). Also, the evaluation of our products against direct and independent GNSS-based slant TEC measurements shows RMS values better than 1 TECU. In turn, ionospheric weather W-index maps were generated, for calm and disturbed geomagnetic scenarios, solely employing our quality verified VTEC maps. The spatial representation of these W-index maps reflects the state of the ionosphere, with a resolution of 0.5 × 0.5 degrees. Finally, we conclude that our products, computed every 15 minutes, do provide an excellent spatial representation of the regional TEC, and are able to provide the bases for the possible computation of ionospheric W-index maps, also in near-real-time.

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Use of Global and Regional Ionosphere Maps for Single-Frequency Precise Point Positioning

Cited by 15 publications

References 3 publications

On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations

On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations

Software simulation of multiple Global Navigation Satellite System measurements

Near-real-time VTEC maps: New contribution for Latin America Space Weather

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