Publications in Scientific Journals:
O. Hlinka, F. Hlawatsch, P. Djuric:
"Distributed sequential estimation in asynchronous wireless sensor networks";
IEEE Signal Processing Letters,
We propose a distributed sequential estimation scheme for wireless sensor networks with asynchronous measurements. Our scheme combines the prediction and update steps of a Bayesian filter (for time alignment and recursive state estimation) with a fusion rule (for intersensor fusion using local communication). We also propose a reduced-complexity implementation using particle filtering and Gaussian mixture approximations, and an estimator of the delays resulting from processing and communication. Simulations for a target tracking problem demonstrate the good performance of our scheme.
Asynchronous measurements, data fusion, distributed particle filter, distributed state estimation, target tracking, wireless sensor network
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.