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; 11-07-2010 - 11-10-2010; in: "44th Asilomar Conference on Signals, Systems, and Computers", (2010), 5 pages.

English abstract:
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)

Related Projects:
Project Head Gerald Matz:
Signal and Information Processing in Science and Engineering - Informationsnetze

Created from the Publication Database of the Vienna University of Technology.