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A multiresolution inversion for imaging the ionosphere.

Ping Yin¹, Ya-Nan Zheng¹, Cathryn N Mitchell²

¹College of Electronic Information and Automation Civil Aviation University of China Tianjin China.

Journal of Geophysical Research. Space Physics

|July 24, 2018

Summary

This summary is machine-generated.

A new multipass tomographic algorithm improves imaging of ionospheric structures. Increasing ground GPS receiver density beyond one every 200 km offers diminishing returns for Global Navigation Satellite Systems tomography.

Keywords:

ground data distribution ionospheric imaging multipass inversion multiresolution

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Area of Science:

* Space Physics
* Geophysics
* Satellite Navigation

Background:

* Ionospheric tomography is crucial for imaging large-scale ionospheric structures.
* Existing algorithms struggle with medium- and small-scale structures due to data distribution and algorithmic limitations.
* The impact of Global Navigation Satellite Systems (GNSS) data density on tomographic accuracy is not well understood.

Purpose of the Study:

* To introduce and evaluate a novel multipass tomographic algorithm for enhanced ionospheric imaging.
* To investigate the influence of ground station data density on tomographic reconstruction accuracy.
* To analyze the performance of the new algorithm during an ionospheric storm event.

Main Methods:

* Development and application of a multipass tomographic inversion algorithm.
* Utilization of intensive ground Global Positioning System (GPS) observation data.
* Validation of results using independent ionosonde data and Center for Orbit Determination in Europe (CODE) total electron content (TEC) estimates.

Main Results:

* The multipass inversion algorithm demonstrates improved ionospheric imaging capabilities.
* Ground data density impacts tomographic results, with significant improvements up to approximately one receiver per 150-200 km.
* Beyond this density, increasing receiver numbers for GPS-only tracking yields no clear advantage.

Conclusions:

* The proposed multipass tomographic approach offers a significant improvement over existing methods.
* Optimal ground station density is critical for accurate ionospheric tomography, with diminishing returns beyond a certain threshold.
* Future research may explore the benefits of multi-constellation GNSS monitoring for improved ionospheric imaging.