Performance Characterization of ESA's Tropospheric Delay Calibration System for Advanced Radio Science Experiments
Media propagation noises are amongst the main error sources of radiometric observables for deep space missions, with fluctuations of the tropospheric excess path length representing a relevant contributor to the Doppler noise budget. Microwave radiometers currently represent the most accurate instru...
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Veröffentlicht in: | Radio science 2021-10, Vol.56 (10), p.n/a |
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Sprache: | eng |
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Zusammenfassung: | Media propagation noises are amongst the main error sources of radiometric observables for deep space missions, with fluctuations of the tropospheric excess path length representing a relevant contributor to the Doppler noise budget. Microwave radiometers currently represent the most accurate instruments for the estimation of the tropospheric delay and delay rate along a slant direction. A prototype of a tropospheric delay calibration system (TDCS), using a 14 channel Ka/V band microwave radiometer, has been developed under a European Space Agency contract and installed at the deep space ground station in Malargüe, Argentina, in February 2019. After its commissioning, the TDCS has been involved in an extensive testbed campaign by recording a total of 44 tracking passes of the Gaia spacecraft, which were used to perform an orbit determination analysis. This work presents the first statistical characterization of the end‐to‐end performance of the TDCS prototype in an operational scenario. The results show that using TDCS‐based calibrations instead of the standard GNSS‐based calibrations leads to a significant reduction of the residual Doppler noise and instability.
Key Points
A prototype water vapor radiometer for tropospheric delay calibration was installed at the deep space ground station in Malargüe
The instrument performance has been statistically characterized through the orbit determination of the Gaia spacecraft
Our results show improved frequency stability with respect to current calibrations based on global navigation satellite system data |
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ISSN: | 0048-6604 1944-799X |
DOI: | 10.1029/2021RS007330 |