Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
F. Xaver, C. Mecklenbräuker, P. Gerstoft, G. Matz:
"Distributed State and Field Estimation Using Particle Filter";
Vortrag: Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove (CA), USA;
07.11.2010
- 10.11.2010; in: "44th Asilomar Conference on Signals, Systems, and Computers",
(2010),
5 S.
Kurzfassung englisch:
This paper addresses distributed tracking of the probability distribution of state parameters of a space- time-variant process described by a linear partial differential equation using a particle filter (PF). We focus on localizing an acoustic source in a given region. The underlying wave equation leads to a high-dimensional estimation problem. We propose a technique for reducing the computational effort of the PF which allows to distribute the signal processing algorithm over the nodes of a wireless sensor network (WSN) without a fusion center.
Schlagworte:
wireless sensor network, localization, distributed algorithms
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ACSSC.2010.5757775
Zugeordnete Projekte:
Projektleitung Gerald Matz:
Signal and Information Processing in Science and Engineering - Informationsnetze
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.