Multipath parameter results for short range urban propagation environments

Skentos, ND; Kanatas, AG; Constantinou, P

dc.contributor.author	Skentos, ND	en
dc.contributor.author	Kanatas, AG	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:44:06Z
dc.date.available	2014-03-01T02:44:06Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31684
dc.subject	Channel measurements	en
dc.subject	MIMO channel characterization	en
dc.subject	Multipath	en
dc.subject	Parameter estimation	en
dc.subject	Physical channel modeling	en
dc.subject	Propagation	en
dc.subject.other	Algorithms	en
dc.subject.other	Channel estimation	en
dc.subject.other	Data reduction	en
dc.subject.other	Information analysis	en
dc.subject.other	MIMO systems	en
dc.subject.other	Wave propagation	en
dc.subject.other	Channel measurements	en
dc.subject.other	Multipath parameters	en
dc.subject.other	Physical channel modeling	en
dc.subject.other	Urban environment	en
dc.subject.other	Multipath propagation	en
dc.title	Multipath parameter results for short range urban propagation environments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/WIMOB.2006.1696389	en
heal.identifier.secondary	http://dx.doi.org/10.1109/WIMOB.2006.1696389	en
heal.identifier.secondary	1696389	en
heal.publicationDate	2006	en
heal.abstract	This paper presents results on the parameters of multipath components extracted from wideband measured MIMO channel matrices. Experimental data were collected with channel sounding measurements at 5.2GHz in an urban environment, under LoS propagation conditions, for short range fixed wireless scenarios. The multidimensional Unitary ESPRIT algorithm was used to estimate the double directional angular and delay characteristics of the propagating waves. The results presented refer to the number of identified waves, their power, the channel's angular spectra and aim to provide information in the context of parametric MIMO channel characterization. Additionally, based on the parameter estimates, MIMO matrices are synthesized and their capacity performance is evaluated in comparison to the directly measured data. © 2006 IEEE.	en
heal.journalName	IEEE International Conference on Wireless and Mobile Computing, Networking and Communications 2006, WiMob 2006	en
dc.identifier.doi	10.1109/WIMOB.2006.1696389	en
dc.identifier.spage	413	en
dc.identifier.epage	418	en