Conference
A novel interacting multiple model method for nonlinear target tracking
Abstract
The state estimation of targets is a difficult task, particularly if the target exhibits nonlinear behaviour, which is often the case. Currently, the most popular filters used in target tracking are the Kalman filter (KF) and its various forms, as well as the particle filter (PF). Introduced in 2007, the smooth variable structure filter (SVSF) is a relatively new predictor-corrector method based on sliding mode estimation. In the past, this …
Authors
Gadsden SA; Habibi SR; Kirubarajan T
Pagination
pp. 1-8
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
July 1, 2010
DOI
10.1109/icif.2010.5712021
Name of conference
2010 13th International Conference on Information Fusion