A study of a stochastic differential equation based model for wireless channels
Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
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.
IdentifiersURN: urn:nbn:se:kau:diva-26756Local ID: ELI-22OAI: oai:DiVA.org:kau-26756DiVA: diva2:612795
Subject / course
Mossberg, Magnus, Docent