Spatio-temporal analysis of rainfall rate for the prediction of slant path fade duration statistics

Panagopoulos, AD; Kanellopoulos, JD

dc.contributor.author	Panagopoulos, AD	en
dc.contributor.author	Kanellopoulos, JD	en
dc.date.accessioned	2014-03-01T02:41:59Z
dc.date.available	2014-03-01T02:41:59Z
dc.date.issued	2001	en
dc.identifier.issn	15223965	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30720
dc.subject	Dynamic Characteristic	en
dc.subject	Spatio-temporal Analysis	en
dc.subject.other	Attenuation	en
dc.subject.other	Markov processes	en
dc.subject.other	Rain	en
dc.subject.other	Statistical methods	en
dc.subject.other	Rain attenuation	en
dc.subject.other	Telecommunication systems	en
dc.title	Spatio-temporal analysis of rainfall rate for the prediction of slant path fade duration statistics	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/APS.2001.960041	en
heal.identifier.secondary	http://dx.doi.org/10.1109/APS.2001.960041	en
heal.publicationDate	2001	en
heal.abstract	A novel engineering method for assessing the dynamic characteristics of rain attenuation on microwave paths using frequencies above 10GHz is presented here. In this analysis a model for spatio-temporal structure of the rainfall rate is introduced. Employing the above model, one can convert the rain-rate duration statistics to slant path fade duration statistics in satellite links. The proposed propagation model is applied on existing experimental results, taken from the literature.	en
heal.journalName	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)	en
dc.identifier.doi	10.1109/APS.2001.960041	en
dc.identifier.volume	3	en
dc.identifier.spage	100	en
dc.identifier.epage	103	en