Cart (Loading....) | Create Account
Close category search window
 

IMM estimation for multitarget-multisensor air traffic surveillance

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)
Yeddanapudi, M. ; MathWorks Inc., Natick, MA, USA ; Bar-Shalom, Y. ; Pattipati, K.R.

This paper deals with the design and implementation of an algorithm for track formation and maintenance in a multisensor Air Traffic Surveillance scenario. The major contribution of the present work is the development of the combined likelihood function that enables the replacement of the Kalman filter (KF) with the much more versatile interacting multiple model (IMM) estimator which, as a self adjusting variable-bandwidth state estimator accounts for the various motion modes of the aircraft. This likelihood function defines the objective function used in the measurement to track assignment algorithm. Also, this algorithm incorporates both skill and beacon returns i.e., it fuses the primary and secondary radar data. Data from two FAA radars are used to evaluate the performance of this algorithm. The use of the IMM estimator yields considerable noise reduction during uniform motion, while maintaining the accuracy of the state estimates during maneuver. Overall, the mean square prediction error (to the next observation time) is reduced by 30% and the rms errors in the altitude rate estimates are reduced by a factor of three over the KF. The usefulness of the tracker presented here is also demonstrated on a noncooperative target

Published in:

Proceedings of the IEEE  (Volume:85 ,  Issue: 1 )

Date of Publication:

Jan 1997

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.