基于自适应目标融合技术的指挥控制系统研究

Research on Command and Control System Based on Self-adaptive Target Fusion Technology

针对多传感器探测问题,建立了一种数据融合算法,为多防空武器系统协同作战下接收多个、多类型传感器目标探测信息的指挥控制系统提供了一项新技术。采用自适应方式,通过计算某一传感器探测数据被系统中其他传感器测量值的综合支持程度,决定其权重系数,从而提高数据融合精度、增强抗干扰能力。通过数值仿真计算对改进算法进行了检验,实验结果表明,融合算法完成了对同一目标7组探测数据的融合。经计算,抗干扰能力相比于传统融合算法有一定提高。

Aiming at the multi-sensor detection problem,a new data fusion algorithm is set up,which could be used in the air defence weapon command and control system with lots of multi-type detection sensors.In the self-adaptive algorithm,the weight coefficient of the data measured by one detection sensor is determined by calculating the comprehensive supporting degree by other measured data in the system,which could improve the data fusion precision and enhance the anti-interference capability.The improved fusion algorithm is tested by numerical simulation,and the experimental results show that seven sets of detection data for one target are fused accurately.It has been calculated that the anti-interference ability of the self-adaptive algorithm is improved compared with that of the conventional fusion algorithms.