A technique for integrating multiple-sensor data using a voting fusion process that combines the individual sensor outputs is described. An important attribute of the method is the automatic confirmation of the target by the fusion processor without the need to explicitly determine which sensors and what level of sensor participation are involved. A three-sensor system, with multiple confidence levels in each sensor, is discussed to illustrate the approach. Boolean algebra is used to derive closed-form expressions for the multiple sensor-system detection probability and false-alarm probability. Procedures for relating confidence levels to detection and false alarm probabilities are described through an example. The hardware implementation for the sensor system fusion algorithm is discussed.<>
A Boolean algebra approach to multiple sensor voting fusion
IEEE Transactions on Aerospace and Electronic Systems ; 29 , 2 ; 317-327
1993-04-01
822954 byte
Article (Journal)
Electronic Resource
English
A Boolean Algebra Approach to Multiple Sensor Voting Fusion
Online Contents | 1993
|Detecting Emergent Behaviors with Semi-Boolean Algebra
British Library Conference Proceedings | 2010
|Detecting Emergent Behaviors with Semi-Boolean Algebra
AIAA | 2010
|Voting fusion adaptation for landmine detection
IEEE | 2002
|Voting fusion adaptation for landmine detection
IEEE | 2003
|