A Study of Radar and AIS Object Data Fusion Based on AFS_RBF's Neural Network
Jiachun Zheng · Journal of Jimei University Natural Science · 2005
According to the characteristic of the navigation information from many sensors,the paper puts forward an information fusion algorithm based on the improved radial base function neural network of the adaptive fuzzy systems(AFS_RBF) and α-β filter to realize the data fusion of radar and AIS.By way of computer simulation,the results show that the algorithm is effective to raise the precision of target tracking.It can also be used in the area of other multi-target and multi-sensor object tracking.