SALMA: UWB-based Single-Anchor Localization System Using Multipath Assistance

Bernhard Großwindhager, Michael Rath, Josef Kulmer, Mustafa Safaa Ahmed Bakr, Carlo Alberto Boano, Klaus Witrisal, Kay Uwe Römer

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung


Setting up indoor localization systems is often excessively time-consuming and labor-intensive, because of the high amount of anchors to be carefully deployed or the burdensome collection of fingerprints. In this paper, we present SALMA, a novel low-cost UWB-based indoor localization system that makes use of only one anchor and that does neither require prior calibration nor training. By using only a crude floor plan and by exploiting multipath reflections, SALMA can accurately determine the position of a mobile tag using a single anchor, hence minimizing the infrastructure costs, as well as the setup time. We implement SALMA on off-the-shelf UWB devices based on the Decawave DW1000 transceiver and show that, by making use of multiple directional antennas, SALMA can also resolve ambiguities due to overlapping multipath components. An experimental evaluation in an office environment with clear line-of-sight has shown that 90% of the position estimates obtained using SALMA exhibit less than 20 cm error, with a median below 8 cm. We further study the performance of SALMA in the presence of obstructed line-of-sight conditions, moving objects and furniture, as well as in highly dynamic environments with several people moving around, showing that the system can sustain decimeter-level accuracy with a worst-case average error below 34 cm.
TitelSALMA: UWB-based Single-Anchor Localization System using Multipath Assistance
PublikationsstatusVeröffentlicht - 5 Nov. 2018
Veranstaltung16th ACM Conference on Embedded Networked Sensor Systems: SenSys 2018 - Southern University of Science and Technology, Shenzhen, China
Dauer: 4 Nov. 20187 Nov. 2018


Konferenz16th ACM Conference on Embedded Networked Sensor Systems
KurztitelACM SenSys

Fields of Expertise

  • Information, Communication & Computing

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