Carrier phase bias estimation of geometry-free linear combination of GNSS signals for ionospheric TEC modeling

Krypiak-Gregorczyk, Anna; Wielgosz, Paweł

doi:10.1007/s10291-018-0711-4

Cited by 28 publications

(25 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the third step, TEC at IPPs is modeled with a spline function to provide the final ionosphere maps. For details on our method, see Krypiak-Gregorczyk et al (2017a) and Krypiak-Gregorczyk and Wielgosz (2018). Note that we assume the carrier phase bias to be stable in time for a few hours.…”

Section: Data and Methods Usedmentioning

confidence: 99%

Ionosphere response to three extreme events occurring near spring equinox in 2012, 2013 and 2015, observed by regional GNSS-TEC model

Krypiak-Gregorczyk

2018

J Geod

Self Cite

View full text Add to dashboard Cite

Recent Solar Cycle 24 is characterized by the occurrence of three strong disturbances near an equinox. In this contribution, the responses of the ionosphere to the equinox storms in 2012, 2013 and 2015 driven by coronal mass ejections were analyzed. Due to the dynamic nature of changes in the ionosphere, the accuracy and resolution of existing global ionosphere models are often insufficient to reflect the storm-time effects in detail. Bearing this in mind, a new highly accurate and high-resolution regional ionosphere model was applied to study the response of this layer to severe geomagnetic storms over Europe. New regional total electron content (TEC) maps were derived exclusively from precise global navigation satellite systems (GNSS) carrier phase data. Although this study is based on space-geodetic technique, it was also carried out in relation to the observations provided from European ionosondes. In addition, the regional maps were compared to the final IGS Global Ionosphere Maps, where the new solution showed a better detail level. The results of storm-time temporal TEC changes provided by GNSS data were confirmed by NmF2 changes derived from ionosondes. Both data sources confirmed their high compatibility for studying the disturbed ionosphere. The magnetic storms that occurred on 7, 9, 12 and 15 March 2012 were different in nature. The largest change in the total electron content was observed during the storm of 9 March. This storm was associated with an interplanetary coronal mass ejection on 7 March that arrived on Earth 2 days later. The other analyzed events in 2013 and 2015 occurred on the same day of year-17 March. They were triggered by coronal mass ejections, which also hit the Earth magnetosphere at the same time of day. However, again the observed response of the ionosphere to these events was different.

show abstract

Section: Data and Methods Usedmentioning

confidence: 99%

Ionosphere response to three extreme events occurring near spring equinox in 2012, 2013 and 2015, observed by regional GNSS-TEC model

Krypiak-Gregorczyk

2018

J Geod

Self Cite

View full text Add to dashboard Cite

show abstract

“…The unknown model parameters are epoch-dependent parameters (coefficients) of the selected ionospheric function and time-constant carrier phase bias parameters for each continuous data arc. The parameters are estimated in a common Least Square Estimation (LSE) adjustment of the data from all available stations and 24-h dataset [29]. It should be noted that the accurate carrier phase bias is the prerequisite for the resulting accurate vTEC maps.…”

Section: Carrier Phase Bias Estimationmentioning

confidence: 99%

Ionosphere Model for European Region Based on Multi-GNSS Data and TPS Interpolation

2017

Self Cite

View full text Add to dashboard Cite

Abstract:The ionosphere is still considered one of the most significant error sources in precise Global Navigation Satellite Systems (GNSS) positioning. On the other hand, new satellite signals and data processing methods allow for a continuous increase in the accuracy of the available ionosphere models derived from GNSS observables. Therefore, many research groups around the world are conducting research on the development of precise ionosphere products. This is also reflected in the establishment of several ionosphere-related working groups by the International Association of Geodesy. Whilst a number of available global ionosphere maps exist today, dense regional GNSS networks often offer the possibility of higher accuracy regional solutions. In this contribution, we propose an approach for regional ionosphere modelling based on un-differenced multi-GNSS carrier phase data for total electron content (TEC) estimation, and thin plate splines for TEC interpolation. In addition, we propose a methodology for ionospheric products self-consistency analysis based on calibrated slant TEC. The results of the presented approach are compared to well-established global ionosphere maps during varied ionospheric conditions. The initial results show that the accuracy of our regional ionospheric vertical TEC maps is well below 1 TEC unit, and that it is at least a factor of 2 better than the global products.

show abstract

“…The IR algorithm based on the dual-frequency carrier phase mainly detects and repairs cycle slips by calculating the difference in carrier phases at single epoch [19], [29]. It reduces the orbit error, satellite/receiver clock error, tropospheric delay, and other errors by eliminating the spatial distance between the receiver and the satellite.…”

Section: A Ionosphere Residual Algorithmmentioning

confidence: 99%

“…The IR algorithm utilizes the combined observations to eliminate the effects of geometric distance change between the receiver and the satellite, which makes integer cycle slips easy to be detected and modified. Krypiak-Gregorczyk and Wielgosz [19] improved the precision of geometry-free observation of IR algorithm with ionospheric total electron contents (TEC) modeling, to make the performance on cycle slip detection more accurate. Yi et al [20] proposed a real time cycle slip detection and repair method, which jointly used the IR algorithm and WL (1, −1) combined observations.…”

Section: Introductionmentioning

confidence: 99%

A Novel Cycle Slips Detection Model for the High Precision Positioning

Yin¹,

Li²,

Deng³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Quality of the observations, which is significantly affected by cycle slips, is a key factor affecting the positioning results in the high precision positioning. Traditional observation data error detection algorithms always miss some special data error combinations, which is also called the ''blind detection spots'' problem. For solving the problem, a complementary symmetric geometry-free (CSGF) method is proposed, which makes the detection of cycle slips more comprehensive and accurate. However, when the observation sampling interval becomes larger, the channel state cannot be seen as a constant which reduces the successful detection probability of the cycle slips. Then, a CSGF second-order differential model is further proposed to deal with this problem. The experimental results show that the proposed model significantly improves the accuracy of cycle slip detection even with long sampling interval. The results also indicate that the accuracy and convergence speed of the positioning solution are significantly improved than other schemes. INDEX TERMS High precision positioning, cycle slips, blind detection spots, CSGF-SD.

show abstract

Carrier phase bias estimation of geometry-free linear combination of GNSS signals for ionospheric TEC modeling

Cited by 28 publications

References 21 publications

Ionosphere response to three extreme events occurring near spring equinox in 2012, 2013 and 2015, observed by regional GNSS-TEC model

Ionosphere response to three extreme events occurring near spring equinox in 2012, 2013 and 2015, observed by regional GNSS-TEC model

Ionosphere Model for European Region Based on Multi-GNSS Data and TPS Interpolation

A Novel Cycle Slips Detection Model for the High Precision Positioning

Contact Info

Product

Resources

About