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Wireless channel modeling based on stochastic differential equations
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering.
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering.
2011 (English)Other (Other academic)
Place, publisher, year, pages
2011.
National Category
Physical Sciences
Research subject
Physics
Identifiers
URN: urn:nbn:se:kau:diva-7204OAI: oai:DiVA.org:kau-7204DiVA: diva2:403898
Note

A short version was published as "A stochastic differential equation for wireless channels based on Jake's model with time-varying phases". In Proc. 13th IEEE Digital Signal Processing Workshop, Marco Island, Florida, January 4-7, 2009.

Available from: 2011-03-15 Created: 2011-03-15 Last updated: 2014-01-13Bibliographically approved
In thesis
1. Some problems of modeling and parameter estimation in continous-time for control and communication
Open this publication in new window or tab >>Some problems of modeling and parameter estimation in continous-time for control and communication
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Stochastic system identification is of great interest in the areas of control and communication. In stochastic system identification, a model of a dynamic system is determined based on given inputs and received outputs from the system, where stochastic uncertainties are also involved. The scope of the report is to consider continuous-time models used within control and communication and to estimate the model parameters from sampled data with high accuracy in a computational efficient way. Continuous-time models of systems controlled in a networked environment, stochastic closed-loop systems, and wireless channels are considered. The parameters of a transfer function based model for the process in a networked control system are first estimated by a covariance function based approach, relying upon the second order statistical properties of the output signal. Some other approaches for estimating the parameters of continuous-time models for processes in networked environments are also considered. Further, the parameters of continuous-time autoregressive exogenous models are estimated from closed-loop filtered data, where the controllers in the closed-loop are of proportional and proportional integral type, and where the closed-loop also contains a time-delay. Moreover, a stochastic differential equation is derived for Jakes's wireless channel model, describing the dynamics of a scattered electric field with the moving receiver incorporating a Doppler shift.

Place, publisher, year, edition, pages
Karlstad: Karlstad University, 2011. 94 p.
Series
Karlstad University Studies, ISSN 1403-8099 ; 2011:16
Keyword
Continuous-time modeling, identification, estimation, closed-loop systems, networked control systems, wireless communication, stochastic differential equations
National Category
Physical Sciences
Research subject
Physics
Identifiers
urn:nbn:se:kau:diva-7128 (URN)978-91-7063-348-5 (ISBN)
Presentation
2011-03-30, 21A 342, Karlstad University, Karlstad, 13:15 (English)
Opponent
Supervisors
Note

Article I was still in manuscript form at the time of the defense.

Available from: 2011-03-15 Created: 2011-02-24 Last updated: 2016-08-16Bibliographically approved

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Irshad, YasirMossberg, Magnus

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CiteExportLink to record
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Citation style
  • apa
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