Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

A new data fusion algorithm based on the continuous-time decentralized Kalman filter

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
$31 $31
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

2 Author(s)
Vershinin, Y.A. ; Sch. of Eng., Coventry Univ., UK ; West, M.J.

Data fusion techniques are used in many tracking and surveillance systems as well as in applications where reliability is of a main concern. The new data fusion algorithm presented allows information from different sensors to be combined in continuous time. Continuous-time decentralized Kalman filters (DKF) are used as data fusion devices on local subsystems. Such a structure gives flexibility for the reconfiguration of a control system. New subsystems can easily be added without needing any redesign of the whole system. The system does not require a central processor and therefore, in the case of failure of some local subsystems (each of which includes a local processor, sensors and actuators) the overall system continues to work. The simulation results show that the performance of the overall system degrades gracefully even if the sensors of some subsystems fail or interconnections are broken. Furthermore, local Kalman filters can effectively reduce subsystem and measurement noise.

Published in:

Target Tracking: Algorithms and Applications (Ref. No. 2001/174), IEE  (Volume:1 )

Date of Conference:

16-17 Oct. 2001