基于特征融合与规则推理的目标识别

为了在干扰电磁环境下提高辐射源和平台目标识别的可靠性，建立了特征级和决策级 的分级融合识别框架，通过特征相关和匹配置信度融合进行辐射源识别，提出了基于粗糙集 规则推理目标识别决策方法。仿真结果表明该方法能增强目标识别的容错性。

Target recognition based on muti-feature fusion and rule-based reasoning

For improving the reliability of the emitter and target identification in interference environment, a framework for target identification is designed which has classification of the feature level and decision level. Emitters are i d entified by characteristics association and matching confidence fusion. Rule-bas ed reasoning on rough sets is proposed. The simulation results show that the met hod can enhance the fault tolerance of the target recognition.