多传感器信息融合系统威胁评估研究

针对多传感器信息融合系统具有多目标、大量观测样本数据的特点,采用模糊模式识别方法,建立最大熵模型,探讨了含不确定性因素的目标归类方法。采用基于知识库的量化方法,将实际测量物理量转化为统一的无量纲量,实现了目标属性对目标威胁程度影响的归一化。最后设计了一个简单实例以验证所研究的威胁评估算法的可行性。

Research on Threat Evaluation of Multi-sensors Information Fusion System

Aiming at Multi-sensors Information Fusion System which has characters of multi-targets as well as lots of reconnaissance data, Maxi-entropy modeling by virtue of mode diagnosis and fuzzy theory was developed so as to classify all kinds of air targets with uncertain attributes. In addition, quantification method based on the repository of AI (artificial intelligence) theory was adopted, in order to transform practical measuring data with physical dimension into uniform data of non-dimension. By this means, the threat-modulus of a target can be measured by its various attributes. In conclusion, a simplified example is schemed out to validate the foregoing threat-evaluation modeling.