Precise Ionosphere Modeling Using Regional GPS Network Data

Gao, Yang; Liu, Zhizhao

doi:10.5081/jgps.1.1.18

Cited by 114 publications

(64 citation statements)

References 10 publications

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“…It was pointed out in [15] that the magnitude of the satellite's hardware delay bias is usually in the range of (several nanosecond ×c) while the receiver's hardware biases could exceed (10 nanoseconds ×c). Therefore, we assume that the satellite's hardware delay biases are negligible, and the receiver's biases are negligible for the positioning without carrier-phase observables.…”

Section: Gr Models For Doppler-based Kalman Filter Positioningmentioning

confidence: 99%

Detection and Correction of Doppler Outliers in Kalman Filter-based Positioning

Mouri

Kubo

Sugimoto

et al. 2016

Transactions of ISCIE

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In this paper, we propose methods of detecting Doppler outliers which cause positioning errors at Doppler-aided GNSS (Global Navigation Satellite System) positioning, and correcting the errors. We apply the existing detection method based on the innovation process in Kalman filtering to Doppler outlier problems, and we propose a novel detection method based on the measurements by the difference between C/A code pseudoranges and Doppler shift range-rates. Both methods are based on chi-squared tests. We apply two correction methods which are Doppler bias exclusion, or the estimation for detected anomalies. The efficient detection of anomalous observables can be developed to RAIM (Receiver Autonomous Integrity Monitoring), and useful to achieve higher accuracy positioning for increasing satellite signals by multi-frequencies and multi-GNSSs. Doppler shift observables are utilized on a priority basis even in urban areas because of immunity to cycleslip and continuous availability, however unexpected Doppler outliers prone to cause positioning errors. The experimental results of positioning by using real receiver data show the feasibility of the proposed detection and correction methods.

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Section: Gr Models For Doppler-based Kalman Filter Positioningmentioning

confidence: 99%

Detection and Correction of Doppler Outliers in Kalman Filter-based Positioning

Mouri

Kubo

Sugimoto

et al. 2016

Transactions of ISCIE

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“…(2), which is severely under-determined problem since the number of measured STECs is much smaller than that of the unknowns, x j , the electron density of a 3D voxel. To reduce the number of the unknowns, the vertical profiles of the ionosphere are approximated as a linear combination of a few dominant orthonormal functions which are extracted from a specific large dataset (Howe et al 1998;Gao & Liu 2002). The orthonormal functions can be derived by carrying out SVD of a large dataset of vertical profiles, constructing a set of EOFs.…”

Section: Empirical Orthonormal Functions (Eofs)mentioning

confidence: 99%

Tomography Reconstruction of Ionospheric Electron Density with Empirical Orthonormal Functions Using Korea GNSS Network

Hong¹,

Kim²,

Chung³

et al. 2017

Journal of Astronomy and Space Sciences

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In South Korea, there are about 80 Global Positioning System (GPS) monitoring stations providing total electron content (TEC) every 10 min, which can be accessed through Korea Astronomy and Space Science Institute (KASI) for scientific use. We applied the computerized ionospheric tomography (CIT) algorithm to the TEC dataset from this GPS network for monitoring the regional ionosphere over South Korea. The algorithm utilizes multiplicative algebraic reconstruction technique (MART) with an initial condition of the latest International Reference Ionosphere-2016 model (IRI-2016). In order to reduce the number of unknown variables, the vertical profiles of electron density are expressed with a linear combination of empirical orthonormal functions (EOFs) that were derived from the IRI empirical profiles. Although the number of receiver sites is much smaller than that of Japan, the CIT algorithm yielded reasonable structure of the ionosphere over South Korea. We verified the CIT results with NmF2 from ionosondes in Icheon and Jeju and also with GPS TEC at the center of South Korea. In addition, the total time required for CIT calculation was only about 5 min, enabling the exploration of the vertical ionospheric structure in near real time.

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“…Therefore, alternative methods that are more suitable for the modeling of nonhomogeneous fields, such as the ionosphere, are studied in this paper. Gao and Liu (2002) pointed out that interpolation methods might give comparable or even better results, compared to the mathematical function representation of TEC. Thus, we propose to investigate the suitability of the two estimation/interpolation techniques, kriging (KR) and Multiquadric Model (MQ), for regional ionosphere mapping.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the resolution of these products might not be sufficient to support high quality GPS positioning, especially in the presence of local ionospheric disturbances. The need to produce highresolution regional ionosphere models, supporting navigation, static positioning and space weather research, is commonly recognized (Komjathy, 1997;HernandezPajares et al, 1999;Gao and Liu, 2002).…”

Section: Introductionmentioning

confidence: 99%

Regional Ionosphere Mapping with Kriging and Multiquadric Methods

Wielgosz¹,

Grejner‐Brzezinska²,

Kashani³

2003

J. of GPS

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Abstract. This paper demonstrates the concept and practical examples of instantaneous mapping of regional ionosphere, based on GPS observations from the State of Ohio continuously operating reference stations (CORS) network. Interpolation/prediction techniques, such as kriging (KR) and the Multiquadric Model (MQ), which are suitable for handling multi-scale phenomena and unevenly distributed data, were used to create total electron content (TEC) maps. Their computational efficiency (especially the MQ technique) and the ability to handle undersampled data (especially kriging) are particularly attractive. Presented here are the preliminary results based on GPS observations collected at five Ohio CORS stations (~100 km station separation and 1-second sampling rate). Dual frequency carrier phase and code GPS observations were used. A zero-difference approach was used for absolute TEC recovery. The quality of the ionosphere representation was tested by comparison to the International GPS Service (IGS) Global Ionosphere Maps (GIMs), which were used as a reference.

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Precise Ionosphere Modeling Using Regional GPS Network Data

Cited by 114 publications

References 10 publications

Detection and Correction of Doppler Outliers in Kalman Filter-based Positioning

Detection and Correction of Doppler Outliers in Kalman Filter-based Positioning

Tomography Reconstruction of Ionospheric Electron Density with Empirical Orthonormal Functions Using Korea GNSS Network

Regional Ionosphere Mapping with Kriging and Multiquadric Methods

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