Conference
Target tracking formulation of the SVSF as a probabilistic data association algorithm
Abstract
Target tracking algorithms are important for a number of applications, including: physics, air traffic control, ground vehicle monitoring, and processing medical images. The probabilistic data association algorithm, in conjunction with the Kalman filter (KF), is one of the most popular and well-studied strategies. The relatively new smooth variable structure filter (SVSF) offers a robust and stable estimation strategy under the presence of …
Authors
Attari M; Gadsden SA; Habibi SR
Pagination
pp. 6328-6332
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/acc.2013.6580830
Name of conference
2013 American Control Conference
Conference proceedings
Proceedings of the 2010 American Control Conference
ISSN
0743-1619