Details
| Original language | English |
|---|---|
| Title of host publication | IEEE 22nd International Workshop on Multimedia Signal Processing |
| ISBN (electronic) | 978-1-7281-9320-5 |
| Publication status | Published - 2020 |
| Event | 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020 - Virtual, Tampere, Finland Duration: 21 Sept 2020 → 24 Sept 2020 |
Publication series
| Name | IEEE International Workshop on Multimedia Signal Processing |
|---|---|
| ISSN (electronic) | 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.
Keywords
- acoustic source localization, Cramer-Rao-Lower-Bound, diffraction, non-line-of-sight, polynomial homotopy continuation, Time-difference-of-arrival
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Media Technology
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IEEE 22nd International Workshop on Multimedia Signal Processing. 2020. (IEEE International Workshop on Multimedia Signal Processing).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario
AU - Südbeck, Sönke
AU - Krause, Thomas
AU - Ostermann, Jörn
PY - 2020
Y1 - 2020
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
UR - https://dblp.org/db/conf/mmsp/mmsp2020.html#SudbeckKO20
UR - http://www.scopus.com/inward/record.url?scp=85099191589&partnerID=8YFLogxK
U2 - 10.1109/MMSP48831.2020.9287166
DO - 10.1109/MMSP48831.2020.9287166
M3 - Conference contribution
SN - 978-1-7281-9323-6
T3 - IEEE International Workshop on Multimedia Signal Processing
BT - IEEE 22nd International Workshop on Multimedia Signal Processing
T2 - 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020
Y2 - 21 September 2020 through 24 September 2020
ER -