2011 IEEE International Conference on Ultra-Wideband (ICUWB) 2011
DOI: 10.1109/icuwb.2011.6058912
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Joint anchor-less tracking and room dimensions estimation through IR-UWB peer-to-peer communications

Abstract: International audienceIn this paper we jointly address the problems of node location tracking and indoor mapping in the absence of infrastructure, relying on peer-to-peer IEEE 802.15.4a Impulse Radio - Ultra Wideband (IR-UWB) links. Coarse Time of Arrival (ToA) measurements, which are obtained within a low complexity Energy Detection (ED) receiver, are mapped into the direct path and single-bounce reflected multipath components. Then these measurements feed a multi-hypothesis tracking filter to retrieve the pe… Show more

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Cited by 9 publications
(4 citation statements)
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“…This approach was extended in [27], where the UWB radar transceiver position is estimated in addition by using a simultaneous localization and mapping (SLAM) approach [28]- [30]. Similarly, [31] describes a SLAM approach to estimate the room-geometry as well as the receiver position based on UWB by using single time reflected MPCs.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This approach was extended in [27], where the UWB radar transceiver position is estimated in addition by using a simultaneous localization and mapping (SLAM) approach [28]- [30]. Similarly, [31] describes a SLAM approach to estimate the room-geometry as well as the receiver position based on UWB by using single time reflected MPCs.…”
Section: Introductionmentioning
confidence: 99%
“…Instead of mapping the environment, Channel-SLAM maps the VT positions and interprets them as landmarks. Furthermore, compared to [19]- [24], [26], [27], [31], Channel-SLAM considers also paths occurring due to multiple number of reflections or scattering as well as the combination of both effects. We demonstrate that each MPC can be treated as being emitted from a VT with unknown but fixed position.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, as a first step in the data extraction process, we re-estimate the locations of the VAs according to the model in (6). In a small region around the geometrically expected VA position p k , we search for the VA position that provides a best fit to the received signal.…”
Section: A Maximum-likelihood Localization Of Vasmentioning
confidence: 99%
“…The results are used to verify the theoretical work in [2]. Also, they provide important performance considerations for localization schemes making use of multipath propagation, like [6] or [7], for example. Fig.…”
Section: Introductionmentioning
confidence: 95%