Map-based Antenna Adaptation for Multipath-assisted Positioning

Michael Rath; Agnes Koller; Klaus Witrisal

doi:10.1109/SPAWC51858.2021.9593255

Map-based Antenna Adaptation for Multipath-assisted Positioning

Michael Rath, Agnes Koller, Klaus Witrisal

Institut für Signalverarbeitung und Sprachkommunikation (4420)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

In this paper, a radio environment map is formulated leveraging a multipath-resolved radio channel model in order to improve the robustness of a multipath-assisted positioning system equipped with directional antennas. A simplified position error bound is derived from the channel model and used as a basis for the map formulation. The map is evaluated in a lab environment on the basis of ultra-wideband (UWB) channel measurements. As an example application, the maps are used in a maximum likelihood based positioning algorithm in order to guide an antenna selection process with the intention to reduce the number of measurements. The algorithm is evaluated on simulated and real measurement data, showing consistent sub-meter accuracy (90% error of 30 cm) while using only a subset of the antennas.

Originalsprache	englisch
Titel	2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers
Seiten	431-435
Seitenumfang	5
ISBN (elektronisch)	9781665428514
DOIs	https://doi.org/10.1109/SPAWC51858.2021.9593255
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications: SPAWC 2021 - Lucca, Italien Dauer: 27 Sept. 2021 → 30 Sept. 2021

Publikationsreihe

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Band	2021-September

Konferenz

Konferenz	22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications
Land/Gebiet	Italien
Ort	Lucca
Zeitraum	27/09/21 → 30/09/21

ASJC Scopus subject areas

Elektrotechnik und Elektronik
Angewandte Informatik
Information systems

Zugriff auf Dokument

10.1109/SPAWC51858.2021.9593255

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

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CD-Labor für Ortssensitive Elektronische Systeme
Witrisal, K., Grebien, S. J., Fuchs, A., Wilding, T., Venus, A. & Wielandner, L.
1/01/18 → 31/12/24
Projekt: Forschungsprojekt
Verlaesslichkeit im Internet der Dinge
Boano, C. A., Kubin, G., Bloem, R., Horn, M., Pernkopf, F., Zakany, N., Mangard, S., Witrisal, K., Römer, K. U., Aichernig, B., Bösch, W., Baunach, M. C., Tappler, M., Malenko, M., Weiser, S., Eichlseder, M., Leitinger, E., Grosinger, J., Großwindhager, B., Ebrahimi, M., Alothman Alterkawi, A. B., Knoll, C., Teschl, R., Saukh, O., Rath, M., Steinberger, M., Steinbauer-Wagner, G. & Tranninger, M.
1/01/16 → 31/03/22
Projekt: Forschungsprojekt

Dieses zitieren

Rath, M., Koller, A., & Witrisal, K. (2021). Map-based Antenna Adaptation for Multipath-assisted Positioning. in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021 (S. 431-435). (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Band 2021-September). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SPAWC51858.2021.9593255

Map-based Antenna Adaptation for Multipath-assisted Positioning. / Rath, Michael; Koller, Agnes ; Witrisal, Klaus.
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers, 2021. S. 431-435 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Band 2021-September).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Rath, M, Koller, A & Witrisal, K 2021, Map-based Antenna Adaptation for Multipath-assisted Positioning. in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Bd. 2021-September, Institute of Electrical and Electronics Engineers, S. 431-435, 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, Lucca, Italien, 27/09/21. https://doi.org/10.1109/SPAWC51858.2021.9593255

Rath M, Koller A , Witrisal K. Map-based Antenna Adaptation for Multipath-assisted Positioning. in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers. 2021. S. 431-435. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC51858.2021.9593255

Rath, Michael ; Koller, Agnes ; Witrisal, Klaus. / Map-based Antenna Adaptation for Multipath-assisted Positioning. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers, 2021. S. 431-435 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

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title = "Map-based Antenna Adaptation for Multipath-assisted Positioning",

abstract = "In this paper, a radio environment map is formulated leveraging a multipath-resolved radio channel model in order to improve the robustness of a multipath-assisted positioning system equipped with directional antennas. A simplified position error bound is derived from the channel model and used as a basis for the map formulation. The map is evaluated in a lab environment on the basis of ultra-wideband (UWB) channel measurements. As an example application, the maps are used in a maximum likelihood based positioning algorithm in order to guide an antenna selection process with the intention to reduce the number of measurements. The algorithm is evaluated on simulated and real measurement data, showing consistent sub-meter accuracy (90% error of 30 cm) while using only a subset of the antennas.",

keywords = "adaptive antenna, location awareness, multipath component, radio environment map, radio positioning",

author = "Michael Rath and Agnes Koller and Klaus Witrisal",

note = "Funding Information: This work was performed in part within the LEAD-Project “Dependable Internet of Things in Adverse Environments”, funded by Graz University of Technology; and within the Christian Doppler Laboratory for Location-aware Electronic Systems, funded by the Christian Doppler Research Association. Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications : SPAWC 2021 ; Conference date: 27-09-2021 Through 30-09-2021",

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AU - Rath, Michael

AU - Koller, Agnes

AU - Witrisal, Klaus

N1 - Funding Information: This work was performed in part within the LEAD-Project “Dependable Internet of Things in Adverse Environments”, funded by Graz University of Technology; and within the Christian Doppler Laboratory for Location-aware Electronic Systems, funded by the Christian Doppler Research Association. Publisher Copyright: © 2021 IEEE.

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N2 - In this paper, a radio environment map is formulated leveraging a multipath-resolved radio channel model in order to improve the robustness of a multipath-assisted positioning system equipped with directional antennas. A simplified position error bound is derived from the channel model and used as a basis for the map formulation. The map is evaluated in a lab environment on the basis of ultra-wideband (UWB) channel measurements. As an example application, the maps are used in a maximum likelihood based positioning algorithm in order to guide an antenna selection process with the intention to reduce the number of measurements. The algorithm is evaluated on simulated and real measurement data, showing consistent sub-meter accuracy (90% error of 30 cm) while using only a subset of the antennas.

AB - In this paper, a radio environment map is formulated leveraging a multipath-resolved radio channel model in order to improve the robustness of a multipath-assisted positioning system equipped with directional antennas. A simplified position error bound is derived from the channel model and used as a basis for the map formulation. The map is evaluated in a lab environment on the basis of ultra-wideband (UWB) channel measurements. As an example application, the maps are used in a maximum likelihood based positioning algorithm in order to guide an antenna selection process with the intention to reduce the number of measurements. The algorithm is evaluated on simulated and real measurement data, showing consistent sub-meter accuracy (90% error of 30 cm) while using only a subset of the antennas.

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Map-based Antenna Adaptation for Multipath-assisted Positioning

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

CD-Labor für Ortssensitive Elektronische Systeme

Verlaesslichkeit im Internet der Dinge

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