NDLI: GPS-based ionospheric tomography with constrained IRI as a regularization

Content Provider	IEEE Xplore Digital Library
Author	Ming Ou Hong-Bo Zhang Wei-Min Zhen
Copyright Year	2012
Description	Author affiliation: China Research Institute of Radiowave Propagation NO.36 Xianshandong Road, Chengyang district, Qingdao, 266107, P.R. China (Ming Ou; Hong-Bo Zhang; Wei-Min Zhen)
Abstract	Recent developments in ionosphere remote sensing, in particular techniques using the global positioning system (GPS) provide an unprecedented capability for monitoring the state of the ionosphere, its reaction to solar-terrestrial events as well as ionospheric wave phenomena. There have been many methods that were suggested to study the feasibility of using the International Reference Ionosphere (IRI) model as a regularization profile for ionospheric tomography experiments. Due to the limited-angle geometry, the vertical precision of ground-based GPS ionospheric tomography still needs to be improved to meet the requirements of some applications, such as monitoring the ionospheric distributions during the ionospheric storm periods. HmF2 (peak height of F2 layer of ionosphere) obtained by vertical soundings as a constrained parameter to IRI will improve the vertical resolution of the ground-base GPS ionospheric tomography. Vertical and oblique sounding data obtained from CRIRP while TEC data obtained from a meridional chain of 6 GPS satellite receivers located in China are used for reconstruction of the mid and low latitude ionosphere, maximum entropy regularization method was used to solve the discrete ill-posed problems, numerical simulations show that the constrained IRI has the potential of becoming a effective regularization profile for ground-based GPS ionospheric tomographic reconstruction of the ionosphere. It has also been observed that the foF2 values obtained from reconstructed images that use constrained IRI as a regularization profile are closer to measured values than those obtained from the images reconstructed with the original IRI regularization profile.
Starting Page	656
Ending Page	659
File Size	386917
Page Count	4
File Format	PDF
ISBN	9781467317993
e-ISBN	9781467318006
DOI	10.1109/ISAPE.2012.6408856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tomography Global Positioning System Ionosphere Image reconstruction Entropy Satellites Satellite broadcasting
Content Type	Text
Resource Type	Article

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