Temporal and spatial variation of differential code biases: A case study of regional network in Egypt

Abid, Maysoon Basheer; Mousa, Ashraf; Rabah, Mostafa; El-Mewafi, Mahmoud; Awad, Ahmed

doi:10.1016/j.aej.2016.03.004

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Due to the combined satellite and receiver biases lead to a negative TEC, several researchers have used various methods to remove automated biases of the satellites and the receiver from GPS measurements. In general, the goal for all studies is to obtain an accurate estimate of TEC [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…During the local night time, multiple authors analyzed data from a single station and modeled the vertical TEC with a quadratic latitude and longitude function. In addition, Abid et al [4] has expanded the technique of attaching thin sphere shells to GPS network data sets. Also, other studies used global ionospheric total electron content and considered DCB as daily constants [13,15].…”

Section: Introductionmentioning

confidence: 99%

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Satellite Differential Code Bias Estimated Using EGYNET: A Local Egyptian Permanent Network

Abid¹,

Mousa²

2020

I2M

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This paper proposes to determine the GPS satellites DCB using nine GPS receivers located in the middle of Egypt. During four seasons and 36 days characterized by quiet geomagnetism, the performance of the proposed method is examined. The dual GPS data selected is used and applied to the GPS receiver chain notes. The Bernese program V.5 is used to estimate DCBs from the data of a single GPS station where the results of the algorithm operation are compared to the CODE DCB data and the main differences in GLONASS data are recorded. According to the comparison of the results between the proposed method and the currently existing methods, it can be shown that the accuracy of the DCB estimates is at a level of about 0.31 and 0.17 ns.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Satellite Differential Code Bias Estimated Using EGYNET: A Local Egyptian Permanent Network

Abid¹,

Mousa²

2020

I2M

Self Cite

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“…The differential code biases are a non-negligible error source. The magnitude of the combined satellite and receiver DCBs can add up to several nanoseconds (ns), for example, ignoring the satellite and receiver DCBs when computing TEC may result in an error of up to 20 TEC units (or 7 ns) for satellites and 40 TECU (or 14 ns) for receivers, one ns corresponds to approximately 28.5 cm in range units [5]. For this reason, to improve the accuracy of TEC estimates, it is necessary to precisely estimate GPS satellite and receiver DCBs.…”

Section: Introductionmentioning

confidence: 99%

Estimation and Analysis of Differential Code Biases Based on GPS Data from Brazilian Network

Espejo¹,

Costa²

2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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The uncertainty of differential code bias (DCB) is one of the main error sources in ionospheric delay of the signal GPS based total electron content (TEC). In this paper, we propose a combination of DCB estimation methods using ZERO method and least square method based on the assumption that the TEC can reach zero. This work estimates receiver differential code biases using GPS measurements of five receivers located within Brazilian network region where ionospheric anomalies exist. The results showed that the estimated values of the receiver differential code biases present stability in comparison to CODE values estimated. The results of differential code biases for Brazilian stations vary much with latitude and longitude and the year of solar activity.

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“…The differential code bias (DCB) is one of the errors in calculating TEC due to complex space environments and highly dynamic orbit conditions. The accuracy can be as large as 20 TECU (7 ns) for each satellite and 40 TECU (14 ns) for the receivers when evaluating the TEC without taking into account the DCB from the satellites and receivers (Abid et al, 2016). The GPS DCB and receiver DCB can be estimated from the dual-frequency GPS observations (Sardon and Zarraoa, 1997;Arikan et al, 2008;Su et al, 2021).…”

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confidence: 99%

Estimation and evaluation of hourly MetOp satellites GPS DCBs with two different methods

Jin

2023

Preprint

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Abstract. Differential code bias (DCB) is one of the Global Positioning System (GPS) errors, which affects the calculation of total electron content (TEC) and ionospheric modeling. In the past, DCB was normally estimated as a constant in one day, while DCB of low Earth orbit (LEO) satellite GPS receiver may have large variations within one day due to complex space environments and highly dynamic orbit conditions. In this study, daily and hourly DCBs of Meteorological Operational (MetOp) satellites GPS receivers are calculated and evaluated using spherical harmonic function (SHF) and local spherical symmetry (LSS) assumption. The results demonstrated that both approaches could obtain accurate and consistent DCB values. The estimated daily DCB standard deviation (STD) is within 0.1 ns in accordance with the LSS assumption and is numerically less than the standard deviation of the reference value provided by the COSMIC Data Analysis and Archive Center (CDAAC). The average error's absolute value is within 0.2 ns with respect to the provided DCB reference value. As for the SHF method, the DCB's standard deviation is within 0.1 ns, which is also less than the standard deviation of the CDAAC reference value. The average error of the absolute value is within 0.2 ns. The estimated hourly DCB with LSS assumptions suggested that calculated results of MetOpA, MetOpB, and MetOpC are, respectively, 0.5 ns to 3.1 ns, -1.1 ns to 1.5 ns, and -1.3 ns to 0.7 ns. The root mean square error (RMSE) is less than 1.2 ns, and the STD is under 0.6 ns. According to the SHF method, the results of MetOpA, MetOpB, and MetOpC are 1 ns to 2.7 ns, - 1 ns to 1 ns, and - 1.3 ns to 0.6 ns, respectively. The RMSE is under 1.3 ns and STD is less than 0.5 ns. The STD for solar active days is less than 0.43 ns, 0.49 ns, and 0.44 ns, respectively, with the LSS assumption, and the appropriate fluctuation ranges are 2.0 ns, 2.2 ns, and 2.2 ns. The variation ranges for the SHF method are 1.5 ns, 1.2 ns, and 1.2 ns, respectively, while the STD is under 0.28 ns, 0.35 ns, and 0.29 ns.

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Temporal and spatial variation of differential code biases: A case study of regional network in Egypt

Cited by 6 publications

References 8 publications

Satellite Differential Code Bias Estimated Using EGYNET: A Local Egyptian Permanent Network

Satellite Differential Code Bias Estimated Using EGYNET: A Local Egyptian Permanent Network

Estimation and Analysis of Differential Code Biases Based on GPS Data from Brazilian Network

Estimation and evaluation of hourly MetOp satellites GPS DCBs with two different methods

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