A global method for the prediction of the slant path rain attenuation statistics

Livieratos, S; Katsambas, V; Kanellopoulos, J

dc.contributor.author	Livieratos, S	en
dc.contributor.author	Katsambas, V	en
dc.contributor.author	Kanellopoulos, J	en
dc.date.accessioned	2014-03-01T01:15:25Z
dc.date.available	2014-03-01T01:15:25Z
dc.date.issued	2000	en
dc.identifier.issn	0920-5071	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13489
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Physics, Applied	en
dc.subject.classification	Physics, Mathematical	en
dc.title	A global method for the prediction of the slant path rain attenuation statistics	en
heal.type	journalArticle	en
heal.identifier.primary	10.1163/156939300X01436	en
heal.identifier.secondary	http://dx.doi.org/10.1163/156939300X01436	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	A method for the prediction of the slant path rain attenuation statistics is proposed, based on the Weibull distribution for the representation of the point rainfall rate statistics. The inhomogeneity of the rainfall medium is described by means of the spatial autocorrelation function. Numerical results derived by using the proposed model have been compared with available experimental data taken from the most recent ITU-R database. Comparison is also made with another prediction method recommended by the International Radio Consultative Committee and some useful conclusions are deduced. More particularly, the present method has been found to give improved results for the higher percentages of time. On the other hand, the CCIR method is superior for the lowest levels (0.003% and 0.001%).	en
heal.publisher	VSP BV	en
heal.journalName	JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS	en
dc.identifier.doi	10.1163/156939300X01436	en
dc.identifier.isi	ISI:000088048800007	en
dc.identifier.volume	14	en
dc.identifier.issue	5	en
dc.identifier.spage	713	en
dc.identifier.epage	724	en