Volume 34 Issue 2
Mar.  2014
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Wang Jian, Ji Shengyun, Wang Hongfa, Lu Dongming, Wang Xianyi. Method for determining the critical frequency and propagation factor at the path midpoint from maximum usable frequency and its propagation delay based on oblique sounder[J]. Chinese Journal of Space Science, 2014, 34(2): 160-167. doi: 10.11728/cjss2014.02.160
Citation: Wang Jian, Ji Shengyun, Wang Hongfa, Lu Dongming, Wang Xianyi. Method for determining the critical frequency and propagation factor at the path midpoint from maximum usable frequency and its propagation delay based on oblique sounder[J]. Chinese Journal of Space Science, 2014, 34(2): 160-167. doi: 10.11728/cjss2014.02.160

Method for determining the critical frequency and propagation factor at the path midpoint from maximum usable frequency and its propagation delay based on oblique sounder

doi: 10.11728/cjss2014.02.160
  • Received Date: 2013-04-23
  • Rev Recd Date: 2013-09-06
  • Publish Date: 2014-03-15
  • Accurately determining critical frequency and propagation factor of ionosphere was important to frequency forecast and management of short-wave communication. Oblique sounder provide a valid method for real-time observation of it. A new practicable method was presented for determining f0F2 and M(3000)F2 at the path midpoint from the oblique sounding data, which was based on simple oblique ray theory and only rely on maximum observation frequency and its propagation delay. The inversion from oblique sounding data on the Changchun-Jingyang and Xinxiang-Chifeng path, were compared with the vertical sounding data in Beijing during October 2009. According to analysis, the stability, accuracy and practicability of the new method are validated. The results show that the root-mean-square error of the new inverse method is 0.48MHz, and the relative root-mean-square error is 10.50%. It is obvious that the new inverse method is better than Smith's method and reference ionosphere of China. Moreover, the method is simple and easy to use. It provides the basis for frequency forecast and management of short-wave communication, and help to know ionospheric variational characteristics.

     

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