Title :
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
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;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325007
