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Probabilistic tomography of atmospheric parameters from GNSS data

The objective of the work is the evaluation of the potential capabilities of navigation satellite signals to retrieve basic atmospheric parameters. A capillary study have been performed on the assumptions more or less explicitly contained in the common processing steps of navigation signals. A probabilistic procedure has been designed for measuring vertical discretised profiles of pressure, temperature and water vapour and their associated
errors. Numerical experiments on a synthetic dataset have been performed with the main objective of quantifying the information that could be gained from such approach, using
entropy and relative entropy as testing parameters. A simulator of phase delay and bending of
a GNSS signal travelling across the atmosphere has been developed to this aim.

Identiferoai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:3922
Date16 May 2011
CreatorsOrtolani, Alberto <1969>
ContributorsRizzi, Rolando
PublisherAlma Mater Studiorum - Università di Bologna
Source SetsUniversità di Bologna
LanguageEnglish
Detected LanguageEnglish
TypeDoctoral Thesis, PeerReviewed
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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