Higher computing accuracy and comparative performance with Kalman filter are exhibited with respect to the improved α-β filter,and it is particularly easier and more reliable.

α-β filter and compound control;

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.

The principle of α-β-γ filter is introduced in short and its parameter is also optimized by using the index of signal-to-noise improvement.

α-β filter algorithm with data pre-processing is described in this paper based on a certain type of radar in order to improve the precision of radar range.

In this paper,the process of information provided by seeker with α-β filter arithmetic and the filter smoothness to the forecast burst angle through adaptive recursive least squares method is studied for the missile fuze system of beam controlled burst.

After timely matching the information measured by every sensor and fusing the data,the targets are being tracked by α-β filter,the simulation results show that the method is feasible and satisfying.