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A Novel Ionospheric Sounding Network Based on Complete Complementary Code and Its Application.

Tongxin Liu1, Guobin Yang2, Yaogai Hu3

  • 1School of Electronic Information, Wuhan University, Wuhan 430072, China. tongxin_liu@whu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces complete complementary code (CCC) sequences for High Frequency (HF) ionospheric sounding networks. This method enables simultaneous vertical and oblique ionogram acquisition, improving efficiency and data assimilation for regional ionospheric mapping.

Keywords:
complete complementary codedata assimilationionogram inversionionospheric sounding network

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Area of Science:

  • Space Physics
  • Geophysics
  • Radio Science

Background:

  • Ionospheric sounding is crucial for understanding Earth's upper atmosphere.
  • Traditional methods face limitations in efficiency and data integration.
  • High Frequency (HF) radio waves are significantly affected by ionospheric conditions.

Purpose of the Study:

  • To apply complete complementary code (CCC) sequences to a multi-location HF ionospheric sounding network.
  • To enable simultaneous vertical and oblique ionogram acquisition and separation.
  • To enhance the efficiency and reduce the complexity of ionospheric data inversion and regional mapping.

Main Methods:

  • Utilizing mutually orthogonal CCC sequences for synchronous vertical soundings across distributed ionosondes.
  • Employing omnidirectional antennas for simultaneous reception of oblique echoes from other stations.
  • Implementing data assimilation to integrate vertical and oblique sounding results.

Main Results:

  • Demonstrated independent and simultaneous acquisition of vertical and oblique ionograms.
  • Successfully inverted vertical and oblique ionograms separately.
  • Generated detailed regional maps of foF2 parameters using data assimilation, outperforming single-sounding methods.

Conclusions:

  • CCC sequences offer an efficient method for simultaneous vertical and oblique ionospheric sounding.
  • Data assimilation of combined sounding data provides a more comprehensive understanding of regional ionospheric characteristics.
  • This approach enhances the capability of HF ionospheric sounding networks for research and application.