An automatic scaling method for obtaining the trace and parameters from oblique ionogram based on hybrid genetic algorithm

详细信息    查看全文

• 作者：Huan Song ; Yaogai Hu ; Chunhua Jiang ; Chen Zhou ; Zhengyu Zhao ; Xianjian Zou
• 刊名：Radio Science
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：51
• 期：12
• 页码：1838-1854
• 全文大小：2.3MB
• ISSN：1944-799X

文摘

Scaling oblique ionogram plays an important role in obtaining ionospheric structure at the midpoint of oblique sounding path. The paper proposed an automatic scaling method to extract the trace and parameters of oblique ionogram based on hybrid genetic algorithm (HGA). The extracted 10 parameters come from F₂ layer and E_s layer, such as maximum observation frequency, critical frequency, and virtual height. The method adopts quasi-parabolic (QP) model to describe F₂ layer's electron density profile that is used to synthesize trace. And it utilizes secant theorem, Martyn's equivalent path theorem, image processing technology, and echoes' characteristics to determine seven parameters' best fit values, and three parameter's initial values in QP model to set up their searching spaces which are the needed input data of HGA. Then HGA searches the three parameters' best fit values from their searching spaces based on the fitness between the synthesized trace and the real trace. In order to verify the performance of the method, 240 oblique ionograms are scaled and their results are compared with manual scaling results and the inversion results of the corresponding vertical ionograms. The comparison results show that the scaling results are accurate or at least adequate 60–90% of the time.