By Topic

Decentralized information filter in federated form

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 $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

2 Author(s)
Yong-Shik Kim ; Dept. of Mech. & Intelligent Syst. Eng., Pusan Nat. Univ., South Korea ; Keum-Shik Hong

In this paper, a decentralized information filter in federated structure is developed in multi-sensor environments. Being equivalent to the Kalman filter algebraically, the information filter of Mutambara is extended to N-sensor distributed dynamic systems. In multi-sensor environments, the information-based filter is easier to decentralize, initialize, and fuse than a KF-based filter. The structural features and information sharing principle of the federated information filter is discussed. It is proved that the information state and its information matrix of the information filter, which are weighted in terms of information sharing factor, are equal to those of the centralized information filter under the regular conditions.

Published in:

SICE 2003 Annual Conference  (Volume:2 )

Date of Conference:

4-6 Aug. 2003