PURPURA, GIOVANNI

PURPURA, GIOVANNI  

DIPARTIMENTO DI SCIENZE E TECNOLOGIE AEROSPAZIALI  

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Risultati 1 - 14 di 14 (tempo di esecuzione: 0.036 secondi).
Titolo Data di pubblicazione Autori File
Autonomous GNC strategy for an asteroid impactor mission 1-gen-2021 Purpura, GiovanniDi Lizia, Pierluigi
An Autonomous GNC Strategy for Asteroid Impactor Missions 1-gen-2019 Purpura, G.Di Lizia, P.
Data Fusion Application for Improving Orbit Determination and Re-Entry Predictions 1-gen-2019 Di Lizia, P.Massari, M.Losacco, M.Purpura, G. +
Development of a Software Suite for Performance Assessment of SST Sensor Networks 1-gen-2021 Purpura, G.De Vittori, A.Cipollone, R.Massari, M.Colombo, C.Di Lizia, P. +
Exploitation of bi-static radar architectures for LEO Space Debris surveying and tracking: The BIRALES/BlRALET project 1-gen-2020 Di Lizia P.Purpura G.Massari M. +
Exploration of an Innovative Ranging Method for Bi-Static Radar, Applied in LEO Space Debris Surveying 1-gen-2020 Di Lizia, P.Purpura, G.Massari, M.Montaruli, M. F. +
Mission Analysis for Potential Threat Scenarios: Kinetic Impactor 1-gen-2018 Colombo, C.Di Lizia, P.Purpura, G. +
Mission Analysis for Potential Threat Scenarios: Kinetic Impactor 1-gen-2019 Colombo, C.Di Lizia, P.Purpura, G. +
Mission analysis for potential threat scenarios: kinetic impactor 1-gen-2018 Colombo C.Di Lizia P.PURPURA, GIOVANNI +
Operational Challenges of the Multibeam Radar Sensor BIRALES for Space Surveillance 1-gen-2019 Losacco, M.Massari, M.Di Lizia, P.Purpura, G. +
SENSIT: a Software Suite for Observation Scheduling and Performance Assessment of SST Sensor Networks 1-gen-2021 Purpura, G.De Vittori, A.Cipollone, R.Di Lizia, P.Massari, M.Colombo, C. +
SNOS: Automatic Optimal Observations Scheduling for Sensor Networks 1-gen-2022 Faraco, N.Purpura, G.Di Lizia, P.Massari, M. +
A Software Suite for Orbit Determination in Space Surveillance and Tracking Applications 1-gen-2022 Montaruli, M. F.Purpura, G.Cipollone, R.De Vittori, A.Facchini, L.Di Lizia, P.Massari, M. +
Space Objects Tumbling Motion Reconstruction from Light Curves Analysis with Machine Learning Techniques 1-gen-2021 De Vittori, A.Cipollone, R.Purpura, G.Massari, M. +