By Topic

An adaptive Kalman filter with sequential rescaling of process noise

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

3 Author(s)
Efe, M. ; Dept. of Electron. Eng., Ankara Univ., Turkey ; Bather, J.A. ; Atherton, D.P.

An approach to adaptive Kalman filtering is presented. The filter utilizes a scale factor, which represents the target unpredictability at any time, as estimated from the available data. The performance of the algorithm is compared with that of an IMM algorithm and also with that of a standard Kalman filter. The proposed filter does not rely on a priori knowledge about the target motion and it produces better estimates than the IMM algorithm during manoeuvring periods

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference:

1999