基于表决算法的空间预警系统数据融合建模/仿真

Modeling/Simulation for Data Fusion in Space Early Warning System Based on Vote Arithmetic

空间预警系统中包含红外、可见光等多种类型的传感器,每种传感器对不同目标的探测均有相应的优势和不足。数据融合技术对来自多个传感器的探测数据进行综合处理,从而缩短系统整体的目标发现时间,提高探测精度等性能。采用表决融合算法对空间预警系统中的数据融合问题进行研究,建立了多传感器串联、并联以及混合结构3种不同组合的融合模型,重点对采用混合融合结构时,系统在保证一定检测率的同时,能最大程度减小虚警率的算法进行了探讨,计算证明这种结构具有最佳的整体融合效果,最后还给出了融合仿真系统的结构方案。

Several kinds of sensors are included in space early warning system such as infrared sensors, visual sensors and so on. Each sensor has its advantage and deficiency. If data from different sensors is disposed synthetically using data fusion technology, target discovery time can be reduced and prediction precision can be enhanced. Vote arithmetic is adopted to research the data fusion problem in space early warning system. Multi-sensor＇s link modes in series, parallel and mix are modeled. The mix one is analyzed detailed, since it can minimize the whole system fault waning rate as the same time guaranteeing detection rate. Calculation proves that this mode has the best whole fusion effect. Simulation system structure scheme is bring forward in the end.