By Topic

Optimal sensor fusion for distributed sensors subject to random delay and packet loss

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Luca Schenato ; Faculty of the Department of Information Engineering, University of Padova, Via Gradenigo, 6/b, Italy

In this paper we study optimal information fusion for sampled linear systems where the sensors are distributed and measurements are collected to central unit via a wireless network. Every sensor measurement is subject to random delay or might even be completely lost. We show that optimal sensor fusion consist in a time-varying Kalman filter with bufferized measurements. We also propose a suboptimal but computationally efficient fusion architecture based on a bank of static gains that can be optimally designed if packet delay statics are known. Finally, algorithms to check for the existence of stable estimators and to evaluate their error covariance are given and some special cases are analyzed.

Published in:

Decision and Control, 2007 46th IEEE Conference on

Date of Conference:

12-14 Dec. 2007