A new two-step algorithm for ionospheric tomography solution

Wen, Desheng; Wang, Yong; Norman, Robert

doi:10.1007/s10291-011-0211-2

Cited by 49 publications

(25 citation statements)

References 15 publications

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“…The primary purpose of the function-based method is to estimate the function coefficient. By contrast, the pixel-based is based on the concept of dividing the modeling regions into equally sized pixels and assuming that the pixel points for identical pixels possess identically sized IEDs before using an inversion technique to estimate the IED (An, 2011;HernandezPajares et al, 1999;Kamp, 2013;Kunitake et al, 1995;Ma and Maruyama, 2003;Rius et al, 1997;Wen, 2007;Wen et al, 2012;Zou, 2004;Zou and Xu, 2003).…”

Section: Introductionmentioning

confidence: 96%

An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI

Kao

Chen

Ning

2015

Advances in Space Research

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Section: Introductionmentioning

confidence: 96%

An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI

Kao

Chen

Ning

2015

Advances in Space Research

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“…Due to the simple operation and easy solution, the voxelbased model is often exploited in ionospheric tomography studies (Wen et al 2012;Yang et al 2017;Zheng et al 2017;Jin and Li 2018). To circumvent the ill-posed problem, many algorithms have been developed over the years.…”

Section: Introductionmentioning

confidence: 99%

A new parameterized approach for ionospheric tomography

Chen

Dai

et al. 2019

GPS Solut

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GNSS ionospheric tomography technique is capable to reconstruct the high-quality 3D ionospheric electron density (IED) images with a relatively low cost. We present a new parameterized approach for refining the voxel-based ionospheric tomography modeling. This approach is different to most other voxel-based techniques as they assume a homogeneous IED distribution in each voxel that is unreasonable for the tomography modeling. In this method, IED of any point within a voxel is determined via vertically exponential interpolation and horizontally inverse distance weighted interpolation from the IED values at the eight corners of that voxel. The parameterized tomography is tested with real data collected over the period of June 1-30, 2015 from 45 GPS stations in south China. The superiority of the new parameterized method is verified by comparison with the traditional nonparametric method. The new parameterized method outperforms the traditional method by 12%, 10%, 5% and 2% for vertical resolutions of 25 km, 50 km, 75 km and 100 km, respectively, in the self-consistency validation by GPS data. Such improvements are 20%, 24%, 22% and 16%, respectively, when assessed by the Swarm in situ IEDs. In terms of the vertical layer discretization, configurations using the resolution of 25 km generally performs better than the other three vertical resolutions. Overall, the parameterized method using a vertical resolution of 25 km achieves the best performance from the comprehensive comparisons with ionospheric data derived by GPS, ionosonde and Swarm satellites.

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“…To overcome this geometric deficiency, constraints or initial conditions of the ionosphere are imposed in the reconstruction method (Wen et al 2012, Seemala et al 2014, Prol and Camargo 2016. However, the efficiency of the ionospheric tomography is an issue that depends on the assumptions made in the tomographic reconstruction method.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations to Assess ART and MART Performance for Ionospheric Tomography of Chapman Profiles

Prol

Camargo

Muella

2017

An. Acad. Bras. Ciênc.

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The incomplete geometrical coverage of the Global Navigation Satellite System (GNSS) makes the ionospheric tomographic system an ill-conditioned problem for ionospheric imaging. In order to detect the principal limitations of the ill-conditioned tomographic solutions, numerical simulations of the ionosphere are under constant investigation. In this paper, we show an investigation of the accuracy of Algebraic Reconstruction Technique (ART) and Multiplicative ART (MART) for performing tomographic reconstruction of Chapman profiles using a simulated optimum scenario of GNSS signals tracked by ground-based receivers. Chapman functions were used to represent the ionospheric morphology and a set of analyses was conducted to assess ART and MART performance for estimating the Total Electron Content (TEC) and parameters that describes the Chapman function. The results showed that MART performed better in the reconstruction of the electron density peak and ART gave a better representation for estimating TEC and the shape of the ionosphere. Since we used an optimum scenario of the GNSS signals, the analyses indicate the intrinsic problems that may occur with ART and MART to recover valuable information for many applications of Telecommunication, Spatial Geodesy and Space Weather.

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A new two-step algorithm for ionospheric tomography solution

Cited by 49 publications

References 15 publications

An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI

An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI

A new parameterized approach for ionospheric tomography

Numerical Simulations to Assess ART and MART Performance for Ionospheric Tomography of Chapman Profiles

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