Deep and near space tracking stations in support of lunar and planetary exploration missions

Togni, Andrea (2023) Deep and near space tracking stations in support of lunar and planetary exploration missions, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Meccanica e scienze avanzate dell'ingegneria, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/10894.
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The aim of this dissertation is to describe the methodologies required to design, operate, and validate the performance of ground stations dedicated to near and deep space tracking, as well as the models developed to process the signals acquired, from raw data to the output parameters of the orbit determination of spacecraft. This work is framed in the context of lunar and planetary exploration missions by addressing the challenges in receiving and processing radiometric data for radio science investigations and navigation purposes. These challenges include the designing of an appropriate back-end to read, convert and store the antenna voltages, the definition of appropriate methodologies for pre-processing, calibration, and estimation of radiometric data for the extraction of information on the spacecraft state, and the definition and integration of accurate models of the spacecraft dynamics to evaluate the goodness of the recorded signals. Additionally, the experimental design of acquisition strategies to perform direct comparison between ground stations is described and discussed. In particular, the evaluation of the differential performance between stations requires the designing of a dedicated tracking campaign to maximize the overlap of the recorded datasets at the receivers, making it possible to correlate the received signals and isolate the contribution of the ground segment to the noise in the single link. Finally, in support of the methodologies and models presented, results from the validation and design work performed on the Deep Space Network (DSN) affiliated nodes DSS-69 and DSS-17 will also be reported.

Tipologia del documento
Tesi di dottorato
Togni, Andrea
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
Deep Space Tracking; Ground Stations; Deep Space Network; Frequency Estimation; Signal Detection; Juno Mission; Radio Science; Planetary Science
Data di discussione
22 Giugno 2023

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