Prof. Dr. Carlo Giuseppe Riva
DEIB, Politecnico di Milano, Milan, Lombardy, Italy
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
30Years (1997-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications8 July 2004 in International Journal of Satellite Communications and Networking
Journal Article
Carlo Giuseppe Riva9 December 2019 in IEEE Transactions on Antennas and Propagation
Journal Article
Lorenzo LuiniGRGiuseppe Roveda
Giuseppe RovedaMZMaurizio Zaffaroni
Maurizio Zaffaroni
MCMario Costa
Mario Costa
Carlo Giuseppe RivaThe results from 1 year of data collected during an electromagnetic wave propagation experiment at ${E}$ -band are presented. The research activity originates from the collaboration between Politecnico di Milano, Milan, Italy, and the Huawei European Microwave Centre in Milan, which installed short (325 m) terrestrial links operating at 73 and 83 GHz, connecting two buildings in the university main campus. The received power data are processed, using a novel approach, to identify rain events and to remove the wet antenna effect, with the aim of accurately quantifying the fade induced by precipitation, $A_{R}$ . Moreover, $A_{R}$ is estimated by taking advantage of the ancillary data collected by the laser-based disdrometer collocated with the link transceivers. The results definitely point out the higher prediction accuracy achieved by exploiting the information on the rain drop size. A full year of data are used as reference to test the accuracy of the statistical prediction model for terrestrial links currently recommended by the ITU-R, which reveals a large overestimation. Finally, alternative models providing a higher accuracy are proposed and their accuracy assessed.
17 May 2018 in International Journal of Satellite Communications and Networking
Journal Article
Carlo Giuseppe RivaLorenzo LuiniMDMichele D'Amico
Michele D'AmicoRNR. Nebuloni
R. Nebuloni
AMA. Marziani
A. Marziani
FMF.S. Marzano
F.S. Marzano +1
24 March 2020 in IEEE Transactions on Antennas and Propagation
Journal Article
A physically-based rain attenuation prediction model for Earth-space links, namely the Enhanced Synthetic Storm Technique (E-SST), is presented. Differently from the original SST, the E-SST receives as input detailed information on the rain height and on the storm velocity, and it discriminates between stratiform and convective rain events having a different impact on the link. The rain attenuation prediction accuracy of E-SST, both as applied directly and as embedded into a more accurate frequency scaling technique, is evaluated against a full year of propagation data collected by the NASA equipment installed at Politecnico di Milano in the frame of the Alphasat Aldo Paraboni propagation experiment. To this aim, a novel methodology to isolate the contribution of rain attenuation from the received beacon power is devised and presented. Results indicate that E-SST represents an accurate and reliable tool for the prediction of rain attenuation at EHF, both on a statistical basis (direct application) and on an event basis (frequency scaling).
31 May 2018 in International Journal of Satellite Communications and Networking
Journal Article
GCG. Codispoti
G. Codispoti
GPG. Parca
G. Parca
MRM. Ruggieri
M. Ruggieri
TRT. Rossi
T. Rossi
MSM. De Sanctis
M. De Sanctis
Lorenzo Luini +1
8 April 2022 in IEEE Transactions on Instrumentation and Measurement
Journal Article
RGRiccardo Angelo Giro
Riccardo Angelo GiroLorenzo LuiniCarlo Giuseppe RivaDPDomingo Pimienta-del-Valle
Domingo Pimienta-del-Valle
José Manuel RieraThis contribution presents a comprehensive methodology for the real-time estimation of the rain intensity from downlink satellite signals. The enhanced system leverages on extremely randomized tree classifiers to automatically perform rainfall detection along earth–satellite links and successively employs an improved procedure to determine the corresponding slant-path rain attenuation. The latter quantity is then exploited to yield real-time rainfall rate estimates with a 1-min time resolution. The accuracy of the proposed methodology is tested using the Ka - and $Q$ -band propagation data, collected in two different sites (Milan and Madrid) and in the framework of the propagation experiments. The results demonstrate the reliability of the automated rain event detector, as well as a satisfactory accuracy in estimating the slant-path rain attenuation and the point rainfall rate. The accuracy is assessed both on a statistical and on an instantaneous basis through the evaluation of different error figures and by inspection of individual time series.
About Me
Prof. Dr. Carlo G. Riva received a Laurea Degree in Electronic Engineering (cum laude) and a PhD degree in Electronic and Communication Engineering, from Politecnico di Milano, Milano, Italy, in 1990 and 1995. In 1999, he joined the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, where, since 2020, he has been a Full Professor of electromagnetic fields. Prof. Dr. Carlo G. Riva was appointed the Principal Investigator of the Alphasat Aldo Paraboni propagation experiment by ASI (Italian Space Agency). He was the Technical Programme Committee Co-Chair of the European Conference on Antennas and Propagation 2016 (EuCAP2016) and a Conference Organising Committee Member of the EuCAP 2021. Since 2016, he has been a member of the Technical Committee of the Ka and Broadband Communications Conference. He is the Chairman of WP 3J of SG3 (‘Propagation fundamentals’) and an IEEE Senior Member. He is a Member of the Editorial Board of the International Journal of Satellite Communications and Networking, a member of the EurAAP, and a member of the Italian Society of Electromagnetism. His main research activities are in the field of tropospheric effects (attenuation, scintillation, and depolarization) in satellite microwave links (GEO, MEO, LEO, Deep Space) and their statistical and physical modeling, the propagation impairment mitigation techniques, and satellite communication adaptive systems.