Speaker
Mr
Angelo Sileo
(Politecnico di Milano)
Description
In this contribution, we present the results of the simulations carried out during the testing phase
of the tomographic reconstruction algorithm, developed in the framework of the MOPRAM project. To this purpose, we exploited a large data set of radar rain maps (assumed as ground truth) and assumed a realistic distribution of microwave links over the area of interest. We considered both stratiform and convective precipitation events, and evaluated the quality of the reconstructed rain field as a function of the number of links and base functions. In order to feed the algorithm with realistic CML data, we simulated different sampling times and quantization levels of the “measured” Received Signal Strength Indicator (RSSI).
Primary authors
Prof.
Michele D'Amico
(Politecnico di Milano)
Ms
Cristina Deidda
(Politecnico di Milano,)
Prof.
Carlo De Michele
(Politecnico di Milano,)
Dr
Roberto Nebuloni
(Consiglio Nazionale delle Ricerche (CNR))
Mr
Angelo Sileo
(Politecnico di Milano)
Dr
Dario Tagliaferri
(Consiglio Nazionale delle Ricerche (CNR))
