E-SALDAT: Efficient Single-Anchor Localization of Dual-Antenna Tags

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

Abstract

Accurate localization is required to enable location awareness of devices in many IoT applications. Current state-of-the-art ultra-wideband solutions make use of ranging measurements in a multi-anchor setup. In this paper, we propose a novel single-anchor scheme (E-SALDAT): an improvement of the Dual Wireless Radio Localization (DWRL). While four ranging measurements were previously required for semi-localization (usually,the first step towards definite localization/rigid-localization), E-SALDAT allows for semi-localization with only two ranging measurements. This results in a significant improvement of overall power efficiency and localization ratio. We present a comparison
of the proposed localization scheme E-SALDAT to its predecessors I-DWRL and DWRL. The comparison was performed based on simulations. Our results suggest that E-SALDAT, on average, can achieve double the localization ratio of
I-DWRL with just 23 % more messages
Originalspracheenglisch
Titel2019 16th Workshop on Positioning, Navigation and Communication, WPNC 2019
Herausgeber (Verlag)IEEE Xplore
Seitenumfang6
ISBN (elektronisch)978-1-7281-2082-9
DOIs
PublikationsstatusVeröffentlicht - 30 Mär 2020
VeranstaltungIEEE 16th Workshop on Positioning, Navigation and Communications - Bremen, Bremen, Deutschland
Dauer: 23 Okt 201924 Okt 2019
https://wpnc.info/

Workshop

WorkshopIEEE 16th Workshop on Positioning, Navigation and Communications
KurztitelWPNC'19
LandDeutschland
OrtBremen
Zeitraum23/10/1924/10/19
Internetadresse

ASJC Scopus subject areas

  • !!Control and Optimization
  • !!Instrumentation
  • !!Computer Networks and Communications

Fields of Expertise

  • Information, Communication & Computing

Fingerprint Untersuchen Sie die Forschungsthemen von „E-SALDAT: Efficient Single-Anchor Localization of Dual-Antenna Tags“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren