基于VBS理论的目标敌我属性综合识别方法

在复杂战场环境下，目标敌我属性综合识别的目的是利用多传感器信息融合得到目标的敌我属性，为指挥员决策提供依据。将VBS（Valuation based Systems）理论应用到目标敌我属性综合识别中，建立了层次化的敌我识别VBS网络模型，用来表示传感器变量及其可信度信息，探讨了VBS网络参数的获取方法。仿真实例证明了VBS理论能够很好地处理复杂战场条件下的不确定信息，并且该网络模型具有直观有效、推理组合的计算量小等特点。

Hierarchical Target Integrated IFF Based on Valuation-based Systems

The goal of target integrated IFF (Identification of Friend or Foe) is to combine the complex sensor information in the battlefield to derive a positive identification (ID). This in turn can help determine the allegiance of an object such as Friend, Neutral, or Hostile. The VBS (Valuation-based Systems) theory is used in integrated IFF, VBS network model is built to represent variables and belief based on the sensors.The way to obtain network parameters is also discussed. The numerical study shows that, the VBS theory has made good performance in dealing with uncertain information in the modern complex battlefield, and this model is simple and direct, and it also cut down the computation in the reasoning process.