电离层掩星反演的正则最大熵法

电离层掩星数据现已成为电离层观测数据的重要来源,对掩星数据的反演研究一直是掩星研究的热点.传统采用的改正TEC(1btal Electron Content)的Abel变换反演法为线性反演法,它会把测量误差带入反演结果中.为改善反演效果受测量误差的影响,引入两种非线性的反演方法一正则化和正则最大熵反演法.随后设计模拟试验,对3种方法进行验证、比较,得到正则最大熵反演法可以很好地减小测量误差的影响.

Maximum Entropy Regularization Method of Ionospheric Occultation

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 occul-tation (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.