A Hybrid Reconstruction Algorithm for 3-D Ionospheric Tomography
Debao Wen; Yunbin Yuan; Jikun Ou; Kefei Zhang; Kai Liu
Geoscience and Remote Sensing, IEEE Transactions on
Volume 46, Issue 6, June 2008 Page(s):1733 - 1739
Digital Object Identifier 10.1109/TGRS.2008.916466
Summary: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.
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