Publications in Scientific Journals:
F. Xaver, G. Matz, P. Gerstoft, C. Mecklenbräuker:
"Localization of acoustic sources using a decentralized particle filter";
EURASIP Journal on Wireless Communications and Networking,
Special Issue on Localization in Mobile Wireless and Sensor Networks
This paper addresses the decentralized localization of an acoustic source in a (wireless) sensor network based on the underlying partial differential equation (PDE). The PDE is transformed into a distributed state-space model and augmented by a source model. Inferring the source state amounts to a non-linear non-Gaussian Bayesian estimation problem for whose solution we implement a decentralized particle filter (PF) operating within and across clusters of sensor nodes. The aggregation of the local posterior distributions from all clusters is achieved via an enhanced version of the maximum consensus algorithm. Numerical simulations illustrate the performance of our scheme.
source localization, acoustic wave equation, distributed state-space model, sequential Bayesian estimation, decentralized particle filter, argumentum-maximi consensus algorithm
"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.