A single Kalman filtering algorithm for maneuvering target tracking

Author

Liu, Chi-Min ; Wu, Kuo-Guan ; Sheu, Jer-Heh

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

iii

fYear

1994

fDate

19-22 Apr 1994

Abstract

Maneuvering tracking involves tracking a target that is suddenly accelerated by the pilot. Two approaches have been proposed for maneuvering target tracking: the residual-based approach and the multiple-model approach. The latter approach provides better tracking performance but has higher computational complexity compared with the former one. The authors present a new maneuvering tracking algorithm which combines the benefits of both approaches so that the tracking accuracy is comparable with that of the multiple-model approach and the complexity with that of the residual-based approach

Keywords

Kalman filters; aircraft; computational complexity; filtering theory; target tracking; Kalman filtering algorithm; computational complexity; maneuvering target tracking; multiple-model approach; residual-based approach; tracking performance; Acceleration; Computational complexity; Computer science; Councils; Filtering algorithms; Kalman filters; Predictive models; State estimation; Target tracking; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.390057

Filename

390057