Talks and Poster Presentations (with Proceedings-Entry):
F. Xaver, G. Matz, P. Gerstoft, N. Görtz:
"Localization of acoustic sources utilizing a decentralized particle filter";
Talk: Asilomar Conference on Signals, Systems, and Computers,
Asilomar, USA (invited);
11-05-2012; in: "46th Asilomar Conference on Signals, Systems, and Computers",
This paper presents recent results of a decentralized localization scheme. Several sensors are embedded in an acoustic wave field. We assume that the field variables of interest are governed by a discrete-time spatial-distributed state-space equation. In particular, acoustic waves are emitted by sources and observed by sensors. For decentralized localization, a further decomposition of the state-space model gives a decentralized model. A decentralized estimation algorithm infers jointly the field and source states. The messages between sensors are sent over an imperfect channel. For qualitative statements of the estimation, its performance is explored by an analytic sequential Weiss-Weinstein bound on the estimation error.
Electronic version of the publication:
Project Head Gerald Matz:
Signal and Information Processing in Science and Engineering - Informationsnetze
Created from the Publication Database of the Vienna University of Technology.