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A new ionospheric tomographic algorithm — constrained multiplicative algebraic reconstruction technique (CMART)

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Abstract

For the limitation of the conventional multiplicative algebraic reconstruction technique (MART), a constrained MART (CMART) is proposed in this paper. In the new tomographic algorithm, a popular two-dimensional multi-point finite difference approximation of the second order Laplacian operator is used to smooth the electron density field. The feasibility and superiority of the new method are demonstrated by using the numerical simulation experiment. Finally, the CMART is used to reconstruct the regional electron density field by using the actual GNSS data under geomagnetic quiet and disturbed days. The available ionosonde data from Beijing station further validates the superiority of the new method.

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References

  • Austen J R, Franke S J and Liu C H 1988 Ionospheric imaging using computerized tomography; Radio Sci. 23 299–307.

    Article  Google Scholar 

  • Andreeva E S, Franke S J and Yeh K C 1990 Radio tomographic reconstruction of ionization dip in the plasma near the Earth; J. Exp. Theor. Phys. Lett. 52 145–148.

    Google Scholar 

  • Garcia R and Crespon F 2008 Radio tomography of the ionophere: Analysis of an underdetermined, ill-posed inverse problem and regional application; Radio Sci. 43 RS2014, doi:10.1029/2007 RS003714.

    Article  Google Scholar 

  • Huang C S, Sofko G and Kelley M 1998 Numerical simulations of midlatitude ionospheric perturbations produced by gravity waves; J. Geophys. Res. 103 6977–6989.

    Article  Google Scholar 

  • Kak A and Slaney M 1988 Principles of computerized tomographic imaging; Soc. for Indust. and Appl. Math. Philadelphia, Pa.

    Google Scholar 

  • Kunitake M, Ohtaka K, Maruyama T, Tokumaru M, Marioka A and Wantabe S 1995 Tomographic imaging of the ionosphere over Japan by the modified truncated SVD method; Ann. Geophys. 13 1303–1310.

    Google Scholar 

  • Kunitsyn V E and Tereshchenko E D 1992 Radio tomography of the ionosphere; IEEE Antennas Propagat. Mag. 34 22–32.

    Article  Google Scholar 

  • Markkanen M, Lehtinen M, Nygren T, Pirttila J, Henelius P, Vilenius E, Tereshchenko E D and Lhuduk B Z 1995 Bayesian approach to satellite radio tomography with applications in the Scandinavian sector; Ann. Geophys. 13 1277–1287.

    Google Scholar 

  • Mitchell C N, Jones D G, Kersley L, Pryse S E and Walker L K 1995 Imaging of field-aligned structures in the auroral ionosphere; Ann. Geophys. 13 1311–1319.

    Google Scholar 

  • Pryse S E, Mitchell C N, Heaton J A T and Kersley L 1995 Traveling ionospheric disturbances imaged by tomographic techniques; Ann. Geophys. 13 1325–1342.

    Google Scholar 

  • Pryse S E, Kersley S, Mitchell C N, Spencer P S J and Willams M J 1998 A comparison of reconstruction techniques used in ionospheric tomography; Radio Sci. 33 1767–1779.

    Article  Google Scholar 

  • Wen D B 2007 Imaging the ionospheric electron density using a combined tomographic algorithm; In: Proc. ION GNSS, FortWorth, TX, September, pp. 2337–2345.

  • Wen D B 2010 The research progress of computerized ionospheric tomography technique; Bull. Nat. Sci. Found. China 24 17–20.

    Google Scholar 

  • Wen D B, Yuan Y B, Ou J K, Huo X L and Zhang K F 2007a Three dimensional ionospheric tomography by an improved algebraic reconstruction technique; GPS Solu. 11 251–258.

    Article  Google Scholar 

  • Wen D B, Yuan Y B and Ou J K 2007b Monitoring the three-dimensional ionospheric electron density distribution using GPS observations over China; J. Earth Syst. Sci. 116(3) 235–244.

    Article  Google Scholar 

  • Wen D B, Yuan Y B, Ou J K and Zhang K F 2008 A hybrid reconstruction algorithm for three dimensional ionospheric tomography; IEEE Trans. Geosci. Remote Sensing 46 1733–1738.

    Article  Google Scholar 

  • Zhai Y and Cumme S 2005 A flexible and robust direct reconstruction method for agnetospheric radio tomography; Radio Sci. 40 RS3004, doi: 10.1029/2004RS003100.

    Article  Google Scholar 

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Correspondence to Debao Wen.

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Wen, D., Liu, S. A new ionospheric tomographic algorithm — constrained multiplicative algebraic reconstruction technique (CMART). J Earth Syst Sci 119, 489–496 (2010). https://doi.org/10.1007/s12040-010-0039-0

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  • DOI: https://doi.org/10.1007/s12040-010-0039-0

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