3-D Ionospheric Tomography Using Model Function in the Modified L-Curve Method

Wang, Sicheng; Huang, Shucai; Lü, Shuai; Yan, Bing

doi:10.1109/tgrs.2018.2881124

Cited by 10 publications

(7 citation statements)

References 35 publications

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“…3D Computed Tomography (CT) is a nondestructive scanning technique that permits to sight and review the external and internal assemblies of an object in 3D space. Ionosphere tomography is a characteristic ill posed problem [1] which does not fulfill requirements of well posed problem also which is having fewer observation in the edge of the lower latitudes of Indian region. To measure electron density Total Electron Count (TEC) function is used which identify quantity of free electrons per square meter in the ray pathway of regional navigation satellite system [4].…”

Section: Ionospheric Tomographymentioning

confidence: 99%

“…In earlier publications various algorithms such as the principal component analysis [4], L-curve method [1], Tikhonov method [1], multi instrument data analysis system(MIDAS) [5], Residual Minimization Training Neural Network (RMTNN) [2], geosynchronous SAR tomography [3], Taylor series expansion [3] have been used to model ionosphere model and measure TEC. Based on research and earlier used methods Artificial Neural Network model is identified to find out better accuracy to measure electron density oven Indian region.…”

Section: Ecs Transactions 107 (1) 11075-11082 (2022)mentioning

confidence: 99%

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Ionospheric Model Development for Indian Region: A Survey Paper

Prajapati¹,

Patel²

2022

ECS Trans.

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Ionosphere’s role is most important in vigorous satellite communication for the navigation positional correctness purpose. Ionosphere contains diverse layers reliant on its electron density with altitude in the layer. There are various ionospheric models to forecast electron density with temporal resolutions cited by literatures. GPS data is frequently used by these models. So, the necessity is a prerequisite of evolving ionospheric models with different time duration for low latitudes of India. Also, an ionosphere tomography is considered as an ill-posed problem. Ionospheric TEC found simultaneously at numerous locations can be preserved with several algorithms to conquer electron density. This research is proposed for evolving a model to forecast 3D tomography of total electron density for the whole Indian region. Mainly used satellite data can be collected by various means. The management of vast statistics are planned by using data mining techniques and artificial neural network techniques for estimation. This paper is an outcome of detailed research on ionospheric model development.

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Section: Ionospheric Tomographymentioning

confidence: 99%

Section: Ecs Transactions 107 (1) 11075-11082 (2022)mentioning

confidence: 99%

Ionospheric Model Development for Indian Region: A Survey Paper

Prajapati¹,

Patel²

2022

ECS Trans.

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“…Wang SC et al (2018) developed a dual‐parameter regularization algorithm to reconstruct the three‐dimensional ionospheric electron density under the assumption that ionospheric spatial variations can be separable into the horizontal and vertical directions. Wang SC et al (2019) adopted the Tikhonov regularization method to reconstruct the 3‐D ionospheric electron density by incorporating electron density profiles data from COSMIC radio occultation technique and ground ionosondes. A regularization parameter was introduced to balance the weights between prior (or background) information and new measurements.…”

Section: Modeling and Data Assimilationmentioning

confidence: 99%

Recent ionospheric investigations in China (2018–2019)

Liu

Wan

2020

Earth and Planetary Physics

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Key Points:Ionospheric observations have continuously accumulated with increasing GNSS receivers being installed q Studies of ionospheric climatology and space weather highlight new physical understanding q Study of ionospheric irregularities/scintillations reports interesting features q Abstract: Since the release of the 2018 National Report of China on ionospheric research ( Liu LB and Wan WX, 2018) to the Committee on Space Research (COSPAR), scientists from Mainland China have made many new fruitful investigations of various ionospheric-related issues. In this update report, we briefly introduce more than 130 recent reports ( [2018][2019]. The current report covers the following topics: ionospheric space weather, ionospheric structures and climatology, ionospheric dynamics and couplings, ionospheric irregularity and scintillation, modeling and data assimilation, and radio wave propagation in the ionosphere and sounding techniques. ΔV para (m/s) SYM-H (nT) V para (m/s) V para (m/s) ΔV para (m/s) Figure 2. (a) The SYM-H index on 13-17 July 2012. The blue line marks the storm onset (at 06:42 UT on 15 July); yellow and gray areas indicate the 24-hour storm-time and 24-hour quiet-time intervals. (b) The blue dots denote the storm-time equatorial field-aligned plasma drifts observed by C/NOFS with red curve representing median and red lines denoting upper and lower quartile values. (c) Same as panel (b), but for the 24-hour quiet time interval. (d) The difference between (b) and (c). (e-h) Same as panels (a-d), but for the case on 7-11 July 2012 where the 24-hour quiet and storm intervals start at 04:12 UT on 7 and 9 July, respectively, after Zhang R et al. (2018). Earth and Planetary Physics

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“…Norberg et al [ 24 , 25 ] used Bayesian statistical inversion with prior distribution given by its mean and covariance with ionosonde measurements and Gaussian Markov random fields as a sparse matrix for the numerical computations, and employed the required additional information with Bayesian which could be given with prior probability distributions, respectively. Wang et al [ 26 , 27 ] used model function in regularization constraint to balance the weights between observations and electron density field, and model function in the modified L-curve method to balance a prior information and real measurements, respectively. To a certain extent, these existing studies have overcome the ill-posedness of ionospheric electron density reconstruction based on constraints and priori information, especially in vertical structure of the ionosphere.…”

Section: Introductionmentioning

confidence: 99%

An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere

Jia

Xing

et al. 2021

PLoS ONE

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Global navigation satellite system (GNSS) is a well-established sensors in the recent ionosphere research. By comparing with classical meteorological equipments, the GNSS application can obtain more reliable and precious ionospheric total electron content (TEC) result. However, the most used GNSS ionospheric tomography technique is sensitive to a priori information due to the sparse and non-uniform distribution of GNSS stations. In this paper, we propose an improved method based on adaptive Laplacian smoothing and algebraic reconstruction technique (ALS-ART). Compared with traditional constant constraints, this method is less dependent on a priori information and adaptive smoothing constraints is closer to the actual situation. Tomography experiments using simulated data show that reconstruction accuracy of ionospheric electron density using ALS-ART method is significantly improved. We also use the method to do the analysis of real observation data and compare the tomography results with ionosonde observation data. The results demonstrate the superiority and reliability of the proposed method compared to traditional constant constraints method which will further improve the capability of obtaining precious ionosphere TEC by using GNSS.

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3-D Ionospheric Tomography Using Model Function in the Modified L-Curve Method

Cited by 10 publications

References 35 publications

Ionospheric Model Development for Indian Region: A Survey Paper

Ionospheric Model Development for Indian Region: A Survey Paper

Recent ionospheric investigations in China (2018–2019)

An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere

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