A novel algorithm of maneuvering target tracking based on AIMM-CKF

Author

Siqing Tian ; Liang Chen ; Junwei Yang ; Jinghui Hao

Author_Institution

Coll. of Inf. & Electron. Technol., Jiamusi Univ., Jiamusi, China

Volume

4

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

2135

Lastpage

2138

Abstract

The interacting multiple model (IMM) is the algorithm which adopts multiple interacting models parallel processing. Coordinated turn (CT) model is the conventional model to tracking turning motion. However, CT model´s angular velocity is constant. In real motion the angular velocity usually is time varying and the value is hard to obtain. The CT model with time varying angular velocity is nonlinear. Based on these problems, an AIMM-CKF algorithm is proposed. The angular velocity is adaptive and the cubature Kalman filter (CKF) is used to estimate the states of system. The simulation results show the efficiency and practicability of this algorithm.

Keywords

Kalman filters; target tracking; AIMM-CKF; coordinated turn model; cubature Kalman filters; interacting multiple model; maneuvering target tracking; parallel processing; time varying angular velocity; Adaptation models; Algorithm design and analysis; Angular velocity; Kalman filters; Signal processing algorithms; Target tracking; Turning; adaptive filter; cubature Kalman filter; interacting multiple models; maneuvering target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023523

Filename

6023523