Talks and Poster Presentations (with Proceedings-Entry):
F. Xaver, C. Mecklenbräuker, P. Gerstoft, G. Matz:
"Distributed State and Field Estimation Using Particle Filter";
Talk: Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove (CA), USA;
- 11-10-2010; in: "44th Asilomar Conference on Signals, Systems, and Computers",
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.
wireless sensor network, localization, distributed algorithms
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Project Head Gerald Matz:
Signal and Information Processing in Science and Engineering - Informationsnetze
Created from the Publication Database of the Vienna University of Technology.