Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario

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OriginalspracheEnglisch
Titel des SammelwerksIEEE 22nd International Workshop on Multimedia Signal Processing
ISBN (elektronisch)978-1-7281-9320-5
PublikationsstatusVeröffentlicht - 2020
Veranstaltung22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020 - Virtual, Tampere, Finnland
Dauer: 21 Sept. 202024 Sept. 2020

Publikationsreihe

NameIEEE International Workshop on Multimedia Signal Processing
ISSN (elektronisch)2163-3517

Abstract

Time-difference-of-arrival (TDOA) localization is a technique for finding the position of a wave emitting object, e.g., a car horn. Many algorithms have been proposed for TDOA localization under line-of-sight (LOS) conditions. In the non-line-of-sight (NLOS) case the performance of these algorithms usually deteriorates. There are techniques to reduce the error introduced by the NLOS condition, which, however, do not directly take into account information on the geometry of the surroundings. In this paper a NLOS TDOA localization approach for a simple diffraction scenario is described, which includes information on the surroundings into the equation system. An experiment with three different loudspeaker positions was conducted to validate the proposed method. The localization error was less than 6.2 % of the distance from the source to the closest microphone position. Simulations show that the proposed method attains the Cramer-Rao-Lower-Bound for low enough TDOA noise levels.

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Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. / Südbeck, Sönke; Krause, Thomas; Ostermann, Jörn.
IEEE 22nd International Workshop on Multimedia Signal Processing. 2020. (IEEE International Workshop on Multimedia Signal Processing).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschung

Südbeck, S, Krause, T & Ostermann, J 2020, Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. in IEEE 22nd International Workshop on Multimedia Signal Processing. IEEE International Workshop on Multimedia Signal Processing, 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020, Virtual, Tampere, Finnland, 21 Sept. 2020. https://doi.org/10.1109/MMSP48831.2020.9287166
Südbeck, S., Krause, T., & Ostermann, J. (2020). Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. In IEEE 22nd International Workshop on Multimedia Signal Processing (IEEE International Workshop on Multimedia Signal Processing). https://doi.org/10.1109/MMSP48831.2020.9287166
Südbeck S, Krause T, Ostermann J. Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. in IEEE 22nd International Workshop on Multimedia Signal Processing. 2020. (IEEE International Workshop on Multimedia Signal Processing). doi: 10.1109/MMSP48831.2020.9287166
Südbeck, Sönke ; Krause, Thomas ; Ostermann, Jörn. / Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. IEEE 22nd International Workshop on Multimedia Signal Processing. 2020. (IEEE International Workshop on Multimedia Signal Processing).
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title = "Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario",
abstract = "Time-difference-of-arrival (TDOA) localization is a technique for finding the position of a wave emitting object, e.g., a car horn. Many algorithms have been proposed for TDOA localization under line-of-sight (LOS) conditions. In the non-line-of-sight (NLOS) case the performance of these algorithms usually deteriorates. There are techniques to reduce the error introduced by the NLOS condition, which, however, do not directly take into account information on the geometry of the surroundings. In this paper a NLOS TDOA localization approach for a simple diffraction scenario is described, which includes information on the surroundings into the equation system. An experiment with three different loudspeaker positions was conducted to validate the proposed method. The localization error was less than 6.2 % of the distance from the source to the closest microphone position. Simulations show that the proposed method attains the Cramer-Rao-Lower-Bound for low enough TDOA noise levels.",
keywords = "acoustic source localization, Cramer-Rao-Lower-Bound, diffraction, non-line-of-sight, polynomial homotopy continuation, Time-difference-of-arrival",
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AU - Krause, Thomas

AU - Ostermann, Jörn

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N2 - Time-difference-of-arrival (TDOA) localization is a technique for finding the position of a wave emitting object, e.g., a car horn. Many algorithms have been proposed for TDOA localization under line-of-sight (LOS) conditions. In the non-line-of-sight (NLOS) case the performance of these algorithms usually deteriorates. There are techniques to reduce the error introduced by the NLOS condition, which, however, do not directly take into account information on the geometry of the surroundings. In this paper a NLOS TDOA localization approach for a simple diffraction scenario is described, which includes information on the surroundings into the equation system. An experiment with three different loudspeaker positions was conducted to validate the proposed method. The localization error was less than 6.2 % of the distance from the source to the closest microphone position. Simulations show that the proposed method attains the Cramer-Rao-Lower-Bound for low enough TDOA noise levels.

AB - Time-difference-of-arrival (TDOA) localization is a technique for finding the position of a wave emitting object, e.g., a car horn. Many algorithms have been proposed for TDOA localization under line-of-sight (LOS) conditions. In the non-line-of-sight (NLOS) case the performance of these algorithms usually deteriorates. There are techniques to reduce the error introduced by the NLOS condition, which, however, do not directly take into account information on the geometry of the surroundings. In this paper a NLOS TDOA localization approach for a simple diffraction scenario is described, which includes information on the surroundings into the equation system. An experiment with three different loudspeaker positions was conducted to validate the proposed method. The localization error was less than 6.2 % of the distance from the source to the closest microphone position. Simulations show that the proposed method attains the Cramer-Rao-Lower-Bound for low enough TDOA noise levels.

KW - acoustic source localization

KW - Cramer-Rao-Lower-Bound

KW - diffraction

KW - non-line-of-sight

KW - polynomial homotopy continuation

KW - Time-difference-of-arrival

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SN - 978-1-7281-9323-6

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BT - IEEE 22nd International Workshop on Multimedia Signal Processing

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Y2 - 21 September 2020 through 24 September 2020

ER -

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