uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Joint Channel and velocity estimation
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2007 (English)In: 2007 IEEE international conference on networking, sensing and control, vols 1 and 2, 2007, 781-786 p.Conference paper (Refereed)
Abstract [en]

An allgorithm for jointly tracking the Rayleigh fading channel and the mobile velocity is presented. The proposed scheme is based on the Interacting Multiple Model (IMM) Algorithm. The IMM utilizes a bank of Kalman filter, each matched to a specific mobile velocity, and the output of the filters are linearly combined based on the instantaneous likelihood of the velocity-models. The proposed scheme allows the tracking of abrupt changes in the mobile velocity even in very low SNR environments.

Place, publisher, year, edition, pages
2007. 781-786 p.
, IEEE International Conference on Networking, Sensing and Control, ISSN 1810-7869 ; 1-2
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-150012ISI: 000252065800139OAI: oai:DiVA.org:uu-150012DiVA: diva2:406353
IEEE International Conference on Networking, Sensing and Control London, ENGLAND, APR 15-17, 2007
Available from: 2011-03-25 Created: 2011-03-25 Last updated: 2016-04-08Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Logothetis, Catharina Carlemalm
By organisation
Signals and Systems Group
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 168 hits
ReferencesLink to record
Permanent link

Direct link