Measuring and modeling the wideband mobile channel for above the sea propagation paths

Maliatsos, K; Constantinou, P; Dallas, P; Ikonomou, M

dc.contributor.author	Maliatsos, K	en
dc.contributor.author	Constantinou, P	en
dc.contributor.author	Dallas, P	en
dc.contributor.author	Ikonomou, M	en
dc.date.accessioned	2014-03-01T02:44:06Z
dc.date.available	2014-03-01T02:44:06Z
dc.date.issued	2006	en
dc.identifier.issn	03796566	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31673
dc.subject	cumulant	en
dc.subject	Density Functional	en
dc.subject	Large Scale	en
dc.subject	Rms Delay Spread	en
dc.subject	Power Delay Profile	en
dc.subject.other	Mathematical models	en
dc.subject.other	Mobile telecommunication systems	en
dc.subject.other	Probability density function	en
dc.subject.other	Signal processing	en
dc.subject.other	Wave propagation	en
dc.subject.other	Aegean Sea	en
dc.subject.other	Mobile channels	en
dc.subject.other	Power Delay Profile (PDP)	en
dc.subject.other	Signal echoes	en
dc.subject.other	Communication channels (information theory)	en
dc.title	Measuring and modeling the wideband mobile channel for above the sea propagation paths	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/EUCAP.2006.4584755	en
heal.identifier.secondary	http://dx.doi.org/10.1109/EUCAP.2006.4584755	en
heal.publicationDate	2006	en
heal.abstract	This paper presents the results on mobile channel characterization for the above the sea propagation paths at 1.9 GHz. The study is based on measurement campaigns conducted in various locations, carefully selected in order to cover all kind of environments that can be met in the Aegean Sea. The purpose was to model the over-the-sea channel. This study presents conclusions and results on large scale as well as on small scale characterization (time dispersive and time variant nature of the channel). Large scale modeling was accomplished with the use of the log-distance model. As far as the time dispersive nature of the channel is concerned, the study focuses on the Power Delay Profile (PDP). A simple methodology for predicting the delays of possible incoming signal echoes is also included. Moreover, mean excess delay and rms delay spread were calculated and empirical cumulative density functions of these quantities for each group were estimated. Finally the envelope distribution for each identified path (direct or not) was estimated. Results on the average estimated K-factor for various types of environment are also presented.	en
heal.journalName	European Space Agency, (Special Publication) ESA SP	en
dc.identifier.doi	10.1109/EUCAP.2006.4584755	en
dc.identifier.volume	626 SP	en