Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/31570
Title: | Deep space orbit determination via Delta-DOR using VLBI antennas | Authors: | Fiori, Francesco Tortora, Paolo Zannoni, Marco Ardito, Alessandro Menapace, Marco Bellei, Gabriele Budnik, Frank Morley, Trevor Mercolino, Mattia OROSEI, ROBERTO |
Issue Date: | 2022 | Journal: | CEAS SPACE JOURNAL | Abstract: | The growing number of deep space exploration missions operating simultaneously in the solar system triggers an increasing demand for large ground antennas capable of tracking distant spacecraft. Several space agencies have their own deep space tracking networks, where each antenna belonging to a ground station complex is meant to be shared among different deep space missions in flight, significantly constraining the tracking schedule. A typical ranging and Doppler radio tracking session requires long tracking passes and a single ground antenna, while angular (Delta-DOR) observations require at least two antennas but usually for much shorter tracking sessions. However, during Delta-DOR observations, the baseline between the two receiving antennas should be kept as large as possible, thus reducing the time windows in which Delta-DOR observations are actually feasible. This leaves little room for adaptation of the tracking schedules of these antennas and calls for the need for possible alternatives for the receiving stations. The antennas belonging to the very long baseline interferometry (VLBI) network worldwide meet the requirements to carry out Delta-DOR tracking sessions. Here, we present an experimental activity carried out tracking ESA’s GAIA spacecraft using a mixed deep space antenna configuration involving an ESA ESTRACK antenna at New Norcia (Australia) and a VLBI antenna at Medicina (Italy). This baseline was used to form Delta-DOR observables with the aim of demonstrating that VLBI antennas offer the capability to track deep space missions, thus increasing the number of possible baselines and observation time windows. | URI: | http://hdl.handle.net/20.500.12386/31570 | URL: | https://link.springer.com/article/10.1007/s12567-022-00424-5 https://api.elsevier.com/content/abstract/scopus_id/85124550445 |
ISSN: | 1868-2502 | DOI: | 10.1007/s12567-022-00424-5 | Bibcode ADS: | 2022CEAS..tmp...16F | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
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DDOR-VLBI_v4.0_Fiori_et_al_notrackchanges.pdf | preprint | 753.79 kB | Adobe PDF | View/Open |
Fiori2022.pdf | [Administrators only] | 972.22 kB | Adobe PDF |
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