Title :
Multi-sensor integration with imperfect communication networks
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
Centralized and distributed multi-sensor integration with uncertainties in the communication networks among the sensors are discussed. The uncertainties in the communication networks cause additional errors. However, the algorithms developed minimize the effects of communication network uncertainties in both the local estimation and central integration
Keywords :
detectors; information theory; imperfect communication networks; information theory; local estimation; multi-sensor integration; uncertainties; Communication networks; Coordinate measuring machines; Equations; Jacobian matrices; Kalman filters; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; Target tracking; Uncertainty;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203713
