Title :
A NN type multi-sensor tracking and identification algorithm
Author :
Bruder, S. ; Johnson, R. ; Farooq, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
Abstract :
A multiple dissimilar sensor multiple target tracking and identification algorithm in the spirit of the nearest neighbour (NN) class of assignment algorithms is proposed. The novelty of this work lies in the exploitation of information type Kalman filters and a coordinated approach to the treatment of both kinematic and non-kinematic properties
Keywords :
Kalman filters; filtering theory; identification; target tracking; Kalman filters; assignment algorithms; identification algorithm; multiple target tracking; multisensor tracking; nearest neighbour class; Bayesian methods; Covariance matrix; Information filters; Kinematics; Neural networks; Performance evaluation; Sequential analysis; State estimation; Testing; Voting;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343013
