An analysis is described of a kinematic state vector fusion algorithm when tracks are obtained from dissimilar sensors. For the sake of simplicity, it is assumed that two dissimilar sensors are equipped with nonidentical two-dimensional optimal linear Kalman filters. It is shown that the performance of such a track-to-track fusion algorithm can be improved if the cross-correlation matrix between candidate tracks is positive. This cross-correlation is introduced by noise associated with target maneuver that is common to the tracking filters in both sensors and is often neglected. An expression for the steady state cross-correlation matrix in closed form is derived and conditions for positivity of the cross-correlation matrix are obtained. The effect of positivity on performance of kinematic track-to-track fusion is also discussed.
Track-to-track fusion with dissimilar sensors
IEEE Transactions on Aerospace and Electronic Systems ; 32 , 3 ; 1021-1029
1996-07-01
1316323 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Track-to-Track Fusion With Dissimilar Sensors
Online Contents | 1996
|Track Fusion for Independent Sensors
AIAA | 2007
|On optimal track-to-track fusion
IEEE | 1997
|On Optimal Track-to-Track Fusion
Online Contents | 1997
|