A variable-structure IMM filtering algorithm based on current statistical model

Author

Li, Xiangnan ; Qin, Zheng ; Guo, Ronghua ; Li, Guobing

Author_Institution

Sch. of Software, Tsinghua Univ., Beijing, China

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

2983

Lastpage

2988

Abstract

A new variable-structure IMM method for maneuvering target tracking using current statistical model is presented. The maximum acceleration a design parameter in current statistical model, is used to design various motion models. The model set adaptation logic according to the maximum acceleration variety is also proposed in the paper. Simulation shows that the performance of new method is superior to the fixed structure IMM algorithm when target maneuver is intense.

Keywords

estimation theory; filtering theory; radar signal processing; statistics; target tracking; interacting multiple model filter; maximum acceleration; model set adaptation logic; statistical model; target tracking; variable structure IMM filtering algorithm; Acceleration; Adaptation model; Automation; Covariance matrix; Filtering algorithms; Filters; Gaussian noise; Mechatronics; Motion estimation; Target tracking; Current statistical model; Maneuvering target tracking; Variable-structure IMM filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246036

Filename

5246036