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Bayesian Cramer-Rao Bound for Mobile Terminal Tracking in Mixed LOS/NLOS Environments
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Fachgebiet Kommunikationstechnik, Institut für Nachrichtentechnik,Technische Universität Darmstadt, Darmstadt, Germany.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2013 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 2, no 3, 335-338 p.Article in journal (Refereed) Published
Abstract [en]

A computational algorithm is presented for the Bayesian Cramer-Rao lower bound (BCRB) in filtering applications with measurement noise from mixture distributions with jump Markov switching structure. Such mixture distributions are common for radio propagation in mixed line- and non-line-of-sight environments. The newly derived BCRB is tighter than earlier more general bounds proposed in literature, and thus gives a more realistic bound on actual estimation performance. The resulting BCRB can be used to compute a lower bound on root mean square error of position estimates in a large class of radio localization applications. We illustrate this on an archetypical tracking application using a nearly constant velocity model and time of arrival observations.

Place, publisher, year, edition, pages
IEEE , 2013. Vol. 2, no 3, 335-338 p.
Keyword [en]
Bayesian Cramer-Rao bound, jump Markov system, location tracking, non-linear filtering
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-121382DOI: 10.1109/WCL.2013.032013.130073OAI: oai:DiVA.org:liu-121382DiVA: diva2:854098
Funder
Swedish Research Council
Available from: 2015-09-15 Created: 2015-09-15 Last updated: 2017-12-04Bibliographically approved

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Fritsche, CarstenGustafsson, Fredrik

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