L
Lorenzo Luini
Researcher at Polytechnic University of Milan
Publications - 183
Citations - 1766
Lorenzo Luini is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Attenuation & Numerical weather prediction. The author has an hindex of 19, co-authored 170 publications receiving 1449 citations. Previous affiliations of Lorenzo Luini include Instituto Politécnico Nacional & Leonardo.
Papers
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A New Prediction Model of Rain Attenuation That Separately Accounts for Stratiform and Convective Rain
TL;DR: In this article, an improved version of the exponential cell (EXCELL) rain attenuation model is presented, which predicts attenuation through a cellular representation of precipitation, but, in addition, is able to discriminate between stratiform and convective rain by means of an embedded algorithm.
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Satellite communication and propagation experiments through the alphasat Q/V band Aldo Paraboni technology demonstration payload
Tommaso Rossi,Mauro De Sanctis,Marina Ruggieri,Carlo Riva,Lorenzo Luini,G. Codispoti,E. Russo,Giorgia Parca +7 more
TL;DR: In this paper, the use of the Ka band radio frequency (RF) links both for the forward and for the return link was investigated for broadband distributed user access in HTS systems.
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MultiEXCELL: A New Rain Field Model for Propagation Applications
Lorenzo Luini,Carlo Capsoni +1 more
TL;DR: In this paper, a new rainfall model oriented to the analysis of radio propagation impairments which was developed on the basis of a comprehensive rain field database collected by the weather radar sited in Spino d'Adda (Italy), is presented.
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The challenge of using the W band in satellite communication
TL;DR: The paper discusses the contributions to signal fade due to gases, clouds, scintillation and rain, as well as to the depolarization of the electromagnetic waves, which affect a satellite radio link operating in the W band.
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Analysis and Parameterization of Methodologies for the Conversion of Rain-Rate Cumulative Distributions from Various Integration Times to One Minute
TL;DR: In this paper, a review of the most common rain-rate cumulative distribution conversion methods is presented, together with a complementary set of coefficients for regional and global application by performing regression to a measurements database.