GNSS tomography resolution matrix spread - another overly complicated solution to simple problem?
GNSS tomography is a technique that is looking into using observation penetrating the medium from multiple of angles to establish the 3D structure of that medium. This is inverse Radon transform, used in many - mostly medical applications (PET/CT scanning). Similar is done with GNSS observations that penetrates the atmosphere from multiple angles, accumulated impact of the atmosphere on the signal phase is recorded at the antenna point, and then inverted to produce 3D structure of atmosphere. Fairly simple, however the inversion is not always successful and the resultant 3D model becomes blurry or contains a lot of outliers.
When it happens? Why it happens? How to test for potentially unstable solution before running Radon inversion?
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