Multiple Moving Platforms and Multi-sensor Maneuvering Target Tracking Based on Fuzzy Adaptive UKF

Author

Gang, Ge Xu ; Jing, Jiang ; Xiaoyan, Ma ; Hong, Sun

Author_Institution

Dept. of Inf. & Command Automatization, Force Radar Acad., Wuhan

Volume

2

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

2015

Lastpage

2020

Abstract

This paper is concerned with maneuvering target tracking in multiple airborne moving platform and multi-sensor system with the unscented Kalman filter. Based on fuzzy inference system and current statistical model, we present a novel three dimension (3D) fuzzy adaptive unscented Kalman filter (FUKF) algorithm. The algorithm improves the ability of comprehending target maneuvering by adjusting the system covariance. The Monte-Carlo simulation results prove its availability.

Keywords

Kalman filters; Monte Carlo methods; fuzzy set theory; target tracking; Monte-Carlo simulation; fuzzy adaptive unscented Kalman filter; fuzzy inference system; multi-sensor maneuvering target tracking; multiple airborne moving platform; Acceleration; Equations; Fuzzy systems; Inference algorithms; Military computing; Radar tracking; Sensor fusion; Symmetric matrices; Systems engineering and theory; Target tracking; Fuzzy Inference system; Maneuvering Target Tracking; Multi-sensor information fusion; Multiple Moving Platforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281970

Filename

4281970