NDLI: Experimental comparison of stochastic MIMO channel models

Content Provider	Springer Nature Link
Author	Pardonche, Jean François Berbineau, Marion Seguit, Christophe
Copyright Year	2005
Abstract	Les performances des systèmesMimo dépendent des propriétés du canal de propagation. Les modèles de canal de propagationMimo doivent donc traduirent fidèlement ces propriétés. Il existe plusieurs familles de modèles dont celles reposant sur l’utilisation de paramètres statistiques du second ordre. Ces modèles sont rarement comparés dans un même environnement de propagation. Partant de ce constat, nous proposons dans cet article une comparaison des différents modèles dans deux environnements: « indoor » et « outdoor ». Après avoir introduit le principe des systèmesMimo et leur représentation mathématique, nous présentons les modèles utilisés. Les paramètres statistiques nécessaires à la modélisation ont été déterminés par la caractérisation expérimentale des deux environnements. Six modèles sont confrontés aux mesures à partir de la distribution de l’enveloppe des coefficients du canal et de la capacité. Leur capacité à traduire le degré de corrélation dans le canal est analysée et permet d’identifier les plus pertinents.Performances ofMimo systems are dependant on the propagation channel properties. These properties must be correctly introduced in theMimo channel propagation models. Several model families exist. We will particularly investigate those relying on the use of second order statistic parameters. No comparison of these models was found in a same propagation environment. As a result, this paper deals with a comparison of six different stochastic models in “indoor” and “outdoor” environments. The principle and the mathematical representation ofMimo systems are introduced. Then, we present the different models considered. The statistical parameters used in the models are computed using an experimental characterization of the two environments. The six models are then compared to measurements using the channel coefficient envelope distribution and the channel capacity. The ability of the models to express the correlation level in the channel is analysed and discussed.
Starting Page	649
Ending Page	680
Page Count	32
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	60
Issue Number	5-6
e-ISSN	19589395
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-01-01
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Radiocommunication Transmission channel Stochastic model Spatial correlation Radio channel Comparative study Channel capacity Correlation matrix Multichannel transmission Communications Engineering, Networks Information Systems and Communication Service Signal, Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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