Research on spatial observation data fusion method based on array photoelectric system

Since the array-type network has the advantages of large coverage area, high reliability and strong adaptability of the environment, the coordinate conversion and data fusion method based on the observation data of the array photoelectric system was proposed according to the information of azimuth and pitch angle of the target changing continuously with time obtained by the reconnaissance equipment in the network. The m×n arrays station arrangement network system was used by the reconnaissance station. When the target entered into the surveillance coverage area, each reconnaissance station observed in all directions. The obtained target angular position information and the time data were sent to the central station in real-time for coordinate transformation and data fusion processing, which achieved the fast detection and coordinate positioning of the spacial target. Meanwhile, the related algorithm software was designed in the outfield experiment, and the reconnaissance observation of the airspace target was completed under the 1×3 reconnaissance array. According to the data processing results of the central station, the 3D tracks of the measured target were set up in real-time. The experimental results show that the proposed coordinate conversion and data fusion method can effectively improve the practical application ability of the array photoelectric system.