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Abstract
Cooperative localization is an enabling technology for the IoT that will introduce innovative services for modern convenience and public safety. Particle-based belief propagation (BP) is a state-of-the-art method for cooperative localization. However, in large and dense cooperative localization networks, particle-based BP suffers from particle degeneracy. In this paper, we propose a new method that combines particle-based BP and particle flow (PF) and can avoid this detrimental effect. To perform operations on the graph effectively, particles are moved towards regions of high likelihood based on the solution of a partial differential equation. We show that the proposed PF-BP algorithm can significantly outperform conventional particle-based BP in accuracy and runtime.
Originalsprache | englisch |
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Titel | 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers |
Seiten | 5652-5656 |
Seitenumfang | 5 |
ISBN (elektronisch) | 9781665405409 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | 47th IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP 2022 - Virtual, Online, Singapur Dauer: 22 Mai 2022 → 27 Mai 2022 |
Publikationsreihe
Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Band | 2022-May |
ISSN (Print) | 1520-6149 |
Konferenz
Konferenz | 47th IEEE International Conference on Acoustics, Speech and Signal Processing |
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Kurztitel | ICASSP 2022 |
Land/Gebiet | Singapur |
Ort | Virtual, Online |
Zeitraum | 22/05/22 → 27/05/22 |
ASJC Scopus subject areas
- Software
- Signalverarbeitung
- Elektrotechnik und Elektronik
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- 1 Laufend
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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