Multipath-assisted maximum-likelihood indoor positioning using UWB signals
Paper i proceeding, 2014

Multipath-assisted indoor positioning (using ultrawideband signals) exploits the geometric information contained in deterministic multipath components. With the help of a-priori available floorplan information, robust localization can be achieved, even in absence of a line-of-sight connection between anchor and agent. In a recent work, the Cramér-Rao lower bound has been derived for the position estimation variance using a channel model which explicitly takes into account diffuse multipath as a stochastic noise process in addition to the deterministic multipath components. In this paper, we adapt this model for position estimation via a measurement likelihood function and evaluate the performance for real channel measurements. Performance results confirm the applicability of this approach. A position accuracy better than 2.5 cm has been obtained in 90% of the estimates using only one active anchor at a bandwidth of 2GHz and robustness against non-line-of-sight situations has been demonstrated.


E. Leitinger

Technische Universität Graz

Markus Fröhle

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

Peter Meissner

Technische Universität Graz

K. Witrisal

Technische Universität Graz

IEEE ICC 2014 Workshop on Advances in Network Localization and Navigation (ANLN)

170-175 6881191
978-147994640-2 (ISBN)


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