The thesis describes the implementation of a calibration, format-translation and data conditioning software for radiometric tracking data of deep-space spacecraft.
All of the available propagation-media noise rejection techniques available as features in the code are covered in their mathematical formulations, performance and software implementations.
Some techniques are retrieved from literature and current state of the art, while other algorithms have been conceived ex novo.
All of the three typical deep-space refractive environments (solar plasma, ionosphere, troposphere) are dealt with by employing specific subroutines.
Specific attention has been reserved to the GNSS-based tropospheric path delay calibration subroutine, since it is the most bulky module of the software suite, in terms of both the sheer number of lines of code, and development time.
The software is currently in its final stage of development and once completed will serve as a pre-processing stage for orbit determination codes.
Calibration of transmission-media noise sources in radiometric observables proved to be an essential operation to be performed of radiometric data in order to meet the more and more demanding error budget requirements of modern deep-space missions.
A completely autonomous and all-around propagation-media calibration software is a novelty in orbit determination, although standalone codes are currently employed by ESA and NASA.
The described S/W is planned to be compatible with the current standards for tropospheric noise calibration used by both these agencies like the AMC, TSAC and ESA IFMS weather data, and it natively works with the Tracking Data Message file format (TDM) adopted by CCSDS as standard aimed to promote and simplify inter-agency collaboration.
Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:6519 |
Date | 07 May 2014 |
Creators | Mariotti, Gilles <1985> |
Contributors | Tortora, Paolo |
Publisher | Alma Mater Studiorum - Università di Bologna |
Source Sets | Università di Bologna |
Language | English |
Detected Language | English |
Type | Doctoral Thesis, PeerReviewed |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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