A hybrid reconstruction algorithm for 3-D ionospheric tomography

Wen, D, Yuan, Y, Ou, J, Zhang, K and Liu, K 2008, 'A hybrid reconstruction algorithm for 3-D ionospheric tomography', IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 6, pp. 1733-1739.


Document type: Journal Article
Collection: Journal Articles

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Title A hybrid reconstruction algorithm for 3-D ionospheric tomography
Author(s) Wen, D
Yuan, Y
Ou, J
Zhang, K
Liu, K
Year 2008
Journal name IEEE Transactions on Geoscience and Remote Sensing
Volume number 46
Issue number 6
Start page 1733
End page 1739
Total pages 6
Publisher IEEE
Abstract In this paper, a hybrid reconstruction algorithm (HRA) is presented to solve the ill-posed inverse problem associated with 3-D ionospheric stochastic tomography. In this new method, the ionospheric electron density (IED) can be inverted by using two steps. First, a truncated singular value decomposition (TSVD) method, whose value is independent on any initial estimation, is used to resolve the ill-posed problem of the tomography system. Second, taking into account the "approximation" of its solution, an iterative improvement process of the solution is then implemented by utilizing the conventional algebraic reconstruction algorithm (ART). The HRA, therefore, offers a more reasonable approach to choose an initial approximate for the ART and to improve the quality of the final reconstructed image. A simulated experiment demonstrates that the HRA method is superior to the TSVD or the ART alone for the tomographic inversion of IED. Finally, the HRA is used to perform GPS-based tomographic reconstruction of the IED at mid- and low-latitude regions.
Subject Navigation and Position Fixing
Keyword(s) inverse problem
ionosphere
tomography
DOI - identifier 10.1109/TGRS.2008.916466
Copyright notice © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISSN 0196-2892
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