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Mathematical Problems in Engineering
Volume 2015, Article ID 810613, 7 pages
Research Article

Maneuvering Target Tracking Algorithm Based on Interacting Multiple Models

College of Automation, Harbin Engineering University, No. 145, Nantong Street, Harbin 150001, China

Received 2 January 2015; Revised 23 April 2015; Accepted 25 April 2015

Academic Editor: Erik Cuevas

Copyright © 2015 Gannan Yuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Aiming at improving the accuracy and quick response of the filter in nonlinear maneuvering target tracking problems, the Interacting Multiple Models Cubature Information Filter (IMMCIF) is proposed. In IMMCIF, the Cubature Information Filter (CIF) is brought into Interacting Multiple Model (IMM), which can not only improve the accuracy but also enhance the quick response of the filter. CIF is a multisensor nonlinear filtering algorithm; it evaluates the information vector and information matrix rather than state vector and covariance, which can reduce the error of nonlinear filtering algorithm. IMM disposes all the models simultaneously through Markov Chain, which can enhance the quick response of the filter. Finally, the simulation results show that the proposed filter exhibits fast and smooth switching when disposing different maneuver models; it performs better than the IMMCKF and IMMUKF on tracking accuracy.