UPC-RapidNetwork: Kalman Filter Tomography TOMION technique

Last modified at Dec 5th, 2022, 08:00 GMT

Description

From the input ionospheric combination of carrier phases (difference of simultaneous transmitter-receiver carrier phases, L1-L2 in GPS, in length units after correcting the transmitter and receiver phase center deviations), expressed in terms of the Jacobian of the voxel-based model, the estimations of the mean electron density of illuminated voxels, as far as the carrier phase ambiguities, is done by means of the Kalman filter. It can be consider equivalent to a Least Squares estimation with memory of the previous values of the unknown under a relative weight in the inverse problem given by a time increasing uncertainty (or process noise). This memory capability is very useful working in a Sun-fixed or solar-geomagnetic reference system, where the electron density values remains quite stationary in agreement with the stationarity of the voxel-Sun distance, the main typical ionization driver. The output of this Kalman filter computation is used for subsequent slant TEC computation as the ambiguity term.

Capabilities

  • Ionospheric Electron Density over a 3D voxel grid

    ElectronDensity
    Observed Property
    ElectronDensity
    Dimensionality Instance
    3D
    Dimensionality Timeline
    4D
    Units
    cm-3

Data Levels

Quality Assessment

Data Quality Flags

Further Information and Resources

Resources

More Properties

Property Value
Algorithm Not used
Processing Input Not used
Software Reference Not used
Metadata Information
Editor Polytechnic University of Catalonia
Version 1
Created Monday 5th Dec. 2022, 08:00
Last Modified Monday 5th Dec. 2022, 08:00