An On-Line Adaptive Weighted Fusion Algorithm for Multi-Sensor Tracking

For the tracking of maneuvering targets, an on line adaptive weighted fusion algorithm for multi sensor data is presented. The algorithm can adjust the fused sensor’s weight according to changes in the sensor’s variance, and the estimation error is kept as of least mean square. The algorithm can adapt itself to the changes of sensor’s character. Computer simulation results indicate that the tracking algorithm is very potential in practical engineering systems.