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A study of a stochastic differential equation based model for wireless channels
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics, Science, Mathematics and Engineering Education Research.
2008 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

An autoregressive (AR) first order model is often used for modelling wireless channels. This is done in spite of the fact that a satisfactory physical explanation for this model has been missing. However, in the recent paper [Feng, Field and Haykin. 2007] derive a model in form of a first order stochastic differential equation (SDE) from a stochastic description of the scattered electric field. After discretizing this SDE, a physically motivated first order AR model is obtained.

Place, publisher, year, edition, pages
2008. , 24 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kau:diva-26756Local ID: ELI-22OAI: oai:DiVA.org:kau-26756DiVA: diva2:612795
Subject / course
Electrical Engineering
Uppsok
Technology
Supervisors
Available from: 2013-10-02 Created: 2013-03-25 Last updated: 2016-04-08Bibliographically approved

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