Bayesian Cramer-Rao Bound for Mobile Terminal Tracking in Mixed LOS/NLOS Environments
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
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.
Bayesian Cramer-Rao bound, jump Markov system, location tracking, non-linear filtering
IdentifiersURN: urn:nbn:se:liu:diva-121382DOI: 10.1109/WCL.2013.032013.130073OAI: oai:DiVA.org:liu-121382DiVA: diva2:854098
FunderSwedish Research Council