基于阵列光电侦察系统空间观测数据融合方法

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

利用阵列式网络具有探测覆盖面积大、可靠性高、环境适应性强等技术优点,在组网内各侦察设备获得目标连续随时间变化的方位角、俯仰角等信息基础上,提出了基于阵列光电系统观测数据的坐标转换和数据融合方法。系统侦察站采用m×n阵列布站组网,目标进入侦察覆盖区域后各侦察站全方位观察,获得目标的角位置信息与时间数据,实时发送至中心站进行坐标转换与数据融合处理,实现对空间目标的快速探测及坐标定位。同时设计了相关算法软件并进行了外场实验,在1×3侦察阵列下完成了对空域目标的侦察观测,根据中心站数据处理结果实时建立了被测目标的三维航迹。实验结果表明:提出的坐标转换与数据融合处理方法,能够有效提升阵列光电系统的实际应用能力。

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.