Statistics – Applications
Scientific paper
Oct 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009acasn..50..406l&link_type=abstract
Acta Astronomica Sinica, vol. 50, no.4 , p.406-414
Statistics
Applications
Planets And Satellites: General: Occultations, Methods: Miscellaneous
Scientific paper
With the increasing number of Global Positioning System (GPS) applications, the research on the factors which affect their radio signals has become an important field. One of the most important effects on ionosphere monitoring is the ionospheric radio occultation (IRO). Using IRO, the monitoring data of the ionosphere has been richer. So far, the ionospheric occultation data is the important source of ionospheric measurement data, and the inversion of occultation data is always the hot topic of occultation research. The traditional method, Abel inversion method of calibrated TEC, which is a linear inversion method, would not decrease the measurement error in the inversion result. To improve results, two nonlinear inversion methods, regularization method and maximum entropy regularization method, have been introduced. Then, through the designed simulative experiment, three methods have been verified and compared. At the end, the maximum entropy regularization method is confirmed to reduce the measurement error satisfactorily.
Fu Yuan-Yuan
Liu Zong-Li
Sun Xu-Juan
Yu Peng Peng
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