Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos Flyby
II. Doppler tracking: Formulation of observed and computed values, and noise budget
1 Joint Institute for VLBI ERIC, PO Box 2, 7990 AA Dwingeloo, The Netherlands
2 Department of Astrodynamics and Space Missions, Delft University of Technology, 2629 HS Delft, The Netherlands
3 Shanghai Astronomical Observatory, 80 Nandan Road, 200030 Shanghai, PR China
4 Finnish Geospatial Research Institute, National Land Survey of Finland, Geodenterinne 2, 02430 Masala, Finland
5 Department of Astronomy, California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, USA
6 Netherlands Institute for Radio Astronomy, PO Box 2, 7990 AA Dwingeloo, The Netherlands
7 Royal Observatory of Belgium, Ringlaan 3, 1180 Brussels, Belgium
Received: 6 July 2017
Accepted: 7 September 2017
Context. Closed-loop Doppler data obtained by deep space tracking networks, such as the NASA Deep Space Network (DSN) and the ESA tracking station network (Estrack), are routinely used for navigation and science applications. By shadow tracking the spacecraft signal, Earth-based radio telescopes involved in the Planetary Radio Interferometry and Doppler Experiment (PRIDE) can provide open-loop Doppler tracking data only when the dedicated deep space tracking facilities are operating in closed-loop mode.
Aims. We explain the data processing pipeline in detail and discuss the capabilities of the technique and its potential applications in planetary science.
Methods. We provide the formulation of the observed and computed values of the Doppler data in PRIDE tracking of spacecraft and demonstrate the quality of the results using an experiment with the ESA Mars Express spacecraft as a test case.
Results. We find that the Doppler residuals and the corresponding noise budget of the open-loop Doppler detections obtained with the PRIDE stations compare to the closed-loop Doppler detections obtained with dedicated deep space tracking facilities.
Key words: methods: data analysis / instrumentation: interferometers / space vehicles / techniques: radial velocities
© ESO, 2018