Title :
Fusion of sensors with dissimilar measurement/tracking accuracies
Author :
Haimovich, Alexander M. ; Greenberg, R.J. ; Becker, Daniel
Author_Institution :
Dept. of Electr. Eng., New Jersey Inst. of Technol., Newark, NJ
fDate :
1/1/1993 12:00:00 AM
Abstract :
The case of data fusion of sensors dissimilar in their measurement/tracking errors is considered. It is shown that the fused track performance is similar whether the sensor data are fused at the track level or at the measurement level. The case of a cluster of targets, resolved by one sensor but not the other, is also considered. Under certain conditions the fused track may perform worse than the worst of the sensors. A remedy to this problem through modifications of the association algorithm is presented
Keywords :
sensor fusion; signal processing; tracking; association algorithm; cluster of targets; data fusion; fused track performance; measurement/tracking accuracies; signal processing; Clustering algorithms; Covariance matrix; Equations; Fuses; Kinematics; Noise robustness; Passive radar; Radar tracking; Sensor fusion; Sensor systems; State estimation; System performance; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
