On the Relationship Between the Spatial Correlation of Point Rain Rate and of Rain Attenuation on Earth-Space Radio Links

Abstract

This contribution presents an analytical expression to predict the spatial correlation of the rain attenuation A impairing two Earth-space radio links in a site diversity configuration (A) as a function of the spatial correlation of the rain precipitation affecting the area (R), of the distance between the two stations d and of the electrical and geometrical characteristics of the links. Well-established properties of the rain field (i.e. quasi-ergodicity and spatial stationarity) are exploited in the derivation of the proposed analytical expression, whose accuracy is evaluated by means of an extensive set of rain field data collected by the NIMROD weather radar network in the UK. Results indicate a satisfactory prediction performance in the 10-50 GHz frequency range, with negligible dependence on the site separation distance d and on the electrical and geometrical characteristics of the system

Μοντελοποίηση Καναλιού Και Αξιολόγηση Επίδοσης Ασύρματων Επίγειων Και Δορυφορικών Συστημάτων Επικοινωνιών Νέας Γενιάς Υψηλών Ταχυτήτων

“…Moreover, as the frequency is increasing, the autocorrelation increases. A similar observation is also made in [Luini13] with the processing of radar data, for the spatial correlation of rain attenuation. Following the Taylor's hypothesis, the calculated autocorrelation can be translated also into the spatial domain.…”

Developing a fault prediction model for wired copper networks under precipitation

“…In communication networks, the impact of precipitation on the performance of networks is mainly studied in the context of wireless communications. These studies include, for example, the impact of rain on wireless sensor networks (Ganesan et al 2001), broadband wireless (Paraboni et al 2002;Fong et al 2004;Panagopoulos et al 2007;Jabbar et al 2008) and satellite communications (Harb et al 2007;Luini and Capsoni 2013). In these networks, rain attenuation impacts the performance of the network where communication happens at carrier frequencies higher than 10GHz (Fong et al 2004).…”

Modeling High-Resolution 3-D Cloud Fields for Earth-Space Communication Systems

“…The final information required to synthesize cloud fields is the spatial distribution of (including pixels with 0) that we have investigated by means of the spatial correlation index defined as [17] (4) In calculating , we have assumed that the cloud field is stationary in space (like for rain fields [17]) and independent of the site in Europe that the target area refers to; this implies that the spatial correlation between two points depends (mostly) on their distance and only marginally on their position, i.e., (5) Fig. 8 depicts the spatial correlation of obtained by averaging values relative to all the couples of pixels at the same distance (light dashed gray line).…”