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Emilio Matricciani

Other affiliations: University of Padua, Leonardo
Bio: Emilio Matricciani is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Attenuation & Computer science. The author has an hindex of 20, co-authored 51 publications receiving 1032 citations. Previous affiliations of Emilio Matricciani include University of Padua & Leonardo.


Papers
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Journal ArticleDOI
TL;DR: In this article, a physical-mathematical model of the dynamics of rain attenuation was developed and discussed, and the model was tested against the probability distributions of rain long-term 11.6GHz attenuation collected at the three Italian stations (Fucino, Gera Lario, and Spino d'Adda) during the SIRIO propagation experiment (13 years of data) for which concurrent rain rate time series are available.
Abstract: We have developed and discussed the theory and applications of a physical-mathematical model of the dynamics of rain attenuation and have tested it as a rain attenuation prediction model in slant paths. Other parameters, however, such as fade durations and rates of change of fades, can be calculated. The main physical input is the 1-min rain rate time series of a site, which is converted to a rain rate space series along horizontal or slant paths by using an estimate of the storm translation speed v method known as “synthetic storm technique.” However, the long-term predictions are found to be insensitive to v. The vertical structure of precipitation is modeled with two layers. The model was tested against the probability distributions of rain long-term 11.6-GHz attenuation collected at the three Italian stations (Fucino, Gera Lario, and Spino d'Adda) during the SIRIO propagation experiment (13 years of data) for which concurrent rain rate time series are available. In the outage probability range 10−1 to 5×10−3% defined the prediction error e = ( Ap − Am) / Am (where Am and Ap are respectively, the measured and predicted rain attenuations, dB), = −10.6%, σ=7.6% and rms=13%. Compared to nine other well-known prediction methods, the present model surmounts all of them in the three sites tested.

162 citations

Journal ArticleDOI
TL;DR: In this article, the prediction of long-term fade duration statistics in slant paths, obtained from rain attenuation time series simulated with the synthetic storm technique (with input from 1-min rain rate time series).
Abstract: The paper discusses the prediction of long-term fade duration statistics in slant paths, obtained from rain attenuation time series simulated with the synthetic storm technique (with input from 1-min rain rate time series). The results of the prediction were tested against the experimental fade duration statistics collected at three sites of the Sirio experiment in Italy at 11.6 GHz. Predicted and measured statistics are very similar for fade durations longer than about 64–128 s, which represent a fundamental lower limit to fade duration prediction using 1-min rain rate time series. The short durations have not been reproduced because they are mainly caused by tropospheric turbulence, not by the space-time structure of rain, well described statistically by the synthetic storm technique. The prediction is not sensitive to rainstorm speed.

88 citations

Journal ArticleDOI
TL;DR: In this article, a statistical relationship between 1-s averaged rain attenuation and standard deviation (σ, in decibels) of simultaneous tropospheric scintillation was derived from high-resolution (50 samples/s) experimental 19.77 GHz attenuation time series recorded at Spino d'Adda (45.4°N) in a 30.6° slant path to satellite Olympus during an observation time of approximately 1 year.
Abstract: This paper reports a statistical relationship between 1-s averaged rain attenuation (A, in decibels) and standard deviation (σ, in decibels) of simultaneous tropospheric scintillation in 1-s intervals, derived from high-resolution (50 samples/s) experimental 19.77 GHz attenuation time series recorded at Spino d'Adda (45.4°N) in a 30.6° slant path to satellite Olympus during an observation time of approximately 1 year. During rain the relationship between scintillation and rain attenuation, suitably separated, can be fit by the power law σ = 0.0391A5/12 formula derivable from a turbulent-thin layer model.

71 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used the measurements collected at Spino d'Adda of Italsat 18.7-GHz beacon in a 37.7/spl deg/slant path, and the independent predictions of the synthetic storm technique (SST) for the same radio link, to search the most reliable long term complementary distribution function (CDF) of the slant path.
Abstract: Many prediction methods of long term complementary distribution function (CDF) of rain attenuation based on rain intensity CDF, when tested against concurrent beacon measurements show very similar large errors. In our opinion, these tests may indicate that the real concurrency of rain attenuation and rain intensity CDFs is not sure. The scope of the paper is to show that this can happen even in a well designed and controlled experiment. To this end, we have used the measurements collected at Spino d'Adda of Italsat 18.7-GHz beacon in a 37.7/spl deg/ slant path, and the independent predictions of the synthetic storm technique (SST) for the same radio link, to search the most reliable long term rain attenuation CDF of the slant path, that we found given by the SST CDF. Since the search is based on concurrent and independent rain intensity measurements, we think that our conclusion is sound. We have also discussed how to complete, statistically, a rain attenuation data bank with the SST prediction (such as the large and valuable Italsat data bank) to provide a secure experimental set of concurrent rain attenuation and rain intensity statistics to test prediction methods under controlled conditions, like in a laboratory.

51 citations

Journal ArticleDOI
TL;DR: A new prediction model of rain attenuation in slant paths; it models the precipitation with two layers of constant vertical precipitation rate with different theoretical assumptions about the calculation of the specific attenuation kRα and to different numerical values of the snow density.
Abstract: The paper presents a new prediction model of rain attenuation in slant paths; it models the precipitation with two layers of constant vertical precipitation rate. The relationship between the rain-rate in the first layer above the ground (layer A) and the apparent precipitation rate (defined in the paper) in the second layer (layer B, which models the melting layer) is theoretically derived: assuming a log-normal probability distribution for the rain-rate in layer A (measured at ground), the apparent rain-rate in layer B is also log-normal with the same standard deviation, but with its median value 3.134 times the median value of the ground rain-rate. The rain-rate statistical process in space is assumed to be also log-normal with a correlation function determined from radar measurements. Assuming that the path attenuation (expressed in decibels) is also log-normal, its average and standard deviation are then derived. The model is tested against the large CCIR data bank of slant path attenuation with or without concurrent rain-rate, frequency ranges between 6 and 34.5 GHz, in the latitude range between 1.3 and 67.4 degrees. In the probability range 10−3-10−3 the root mean square (RMS) log-error of the Long Term data bank (single experiments of about 5 years) is about 26%, with average ( ) log-error close to zero. For data banks of single experiments of shorter duration the RMS increases while decreases. The model is not significantly biased with attenuation, frequency of the experiment or latitude of the station. The distributions of the overall log-error and that of the log-error conditioned on given probabilities are both Gaussian. Sensitivity to different theoretical assumptions about the calculation of the specific attenuation kRα and to different numerical values of the snow density is also tested.

46 citations


Cited by
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Journal ArticleDOI
TL;DR: This article surveys the alternative fade mitigation techniques for satellite communication systems operating at Ku, Ka and V frequency bands and discusses the specific phenomena influencing the propagation of radiowaves on Earth-space links.
Abstract: This article surveys the alternative fade mitigation techniques for satellite communication systems operating at Ku, Ka and V frequency bands. The specific phenomena influencing the propagation of radiowaves on Earth-space links are also overviewed. Emphasis is placed on modeling, experimental work carried out in the past, and practical implementations related to each mitigation technique.

472 citations

Journal ArticleDOI
TL;DR: This review is built on two pillars, namely fixed satellite and mobile satellite, and special attention is given to the characteristics of the satellite channel, which will ultimately determine the viability of MIMO over satellite.
Abstract: The present article carries out a review of MIMO-based techniques that have been recently proposed for satellite communications. Due to the plethora of MIMO interpretations in terrestrial systems and the particularities of satellite communications, this review is built on two pillars, namely fixed satellite and mobile satellite. Special attention is given to the characteristics of the satellite channel, which will ultimately determine the viability of MIMO over satellite. Finally, some future research directions are identified.

315 citations

Journal ArticleDOI
TL;DR: In this article, a large population of radar-measured ground rain cells is used to devise and assess a rain cell model for use in some of the future telecommunication applications.
Abstract: A large population of radar-measured ground rain cells is used to devise and assess a rain cell model for use in some of the future telecommunication applications. The model is based on cells of exponential profile (which is shown to reproduce best the point rain rate CDF); both rotational and biaxial symmetries are considered for the horizontal cross sections. Furthermore, the proposed model contains analytical expressions for the joint probability densities of the parameters which define the cell, i.e., peak rain intensity, cell size and axial ratio. Finally, an algorithm is given for adapting the model to the characteristics of any given site: this algorithm requires as input the local cumulative distribution of point rainfall and provides the spatial number densities (i.e., the average number of cells per square kilometer and per unit range of the parameters) which this distribution would produce. The model offers the possibility of predicting the statistics of many propagation parameters (such as attenuation or interference by rain scattering) which are determined by the rain cell characteristics and their frequency of occurrence.

168 citations

Journal ArticleDOI
TL;DR: In this article, a physical-mathematical model of the dynamics of rain attenuation was developed and discussed, and the model was tested against the probability distributions of rain long-term 11.6GHz attenuation collected at the three Italian stations (Fucino, Gera Lario, and Spino d'Adda) during the SIRIO propagation experiment (13 years of data) for which concurrent rain rate time series are available.
Abstract: We have developed and discussed the theory and applications of a physical-mathematical model of the dynamics of rain attenuation and have tested it as a rain attenuation prediction model in slant paths. Other parameters, however, such as fade durations and rates of change of fades, can be calculated. The main physical input is the 1-min rain rate time series of a site, which is converted to a rain rate space series along horizontal or slant paths by using an estimate of the storm translation speed v method known as “synthetic storm technique.” However, the long-term predictions are found to be insensitive to v. The vertical structure of precipitation is modeled with two layers. The model was tested against the probability distributions of rain long-term 11.6-GHz attenuation collected at the three Italian stations (Fucino, Gera Lario, and Spino d'Adda) during the SIRIO propagation experiment (13 years of data) for which concurrent rain rate time series are available. In the outage probability range 10−1 to 5×10−3% defined the prediction error e = ( Ap − Am) / Am (where Am and Ap are respectively, the measured and predicted rain attenuations, dB), = −10.6%, σ=7.6% and rms=13%. Compared to nine other well-known prediction methods, the present model surmounts all of them in the three sites tested.

162 citations