A multi-sensor tracking and identification algorithm using the square-root information filter

Author

Bruder, S. ; Johnson, R. ; Farooq, M.

Author_Institution

Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada

fYear

1993

fDate

15-17 Dec 1993

Firstpage

940

Abstract

A multiple dissimilar sensor multi-target tracking and identification algorithm using the square-root information filter is proposed. The procedures employed within this algorithm minimize the computational effort by working entirely within the information domain and utilizing a coordinated approach to the treatment of both kinematic and non-kinematic properties. The development of an object-oriented simulation testbed is outlined

Keywords

digital simulation; filtering and prediction theory; identification; kinematics; object-oriented methods; radar theory; sensor fusion; telecommunications computing; identification algorithm; kinematic information; multisensor tracking; multitarget tracking; nonkinematic information; object oriented simulation testbed; square root information filter; surveillance; track to track fusion process; Computational modeling; Cost function; Covariance matrix; Educational institutions; Inference algorithms; Information filters; Kinematics; Military computing; Neural networks; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-1298-8

Type

conf

DOI

10.1109/CDC.1993.325007

Filename

325007