战场目标的模糊逻辑检测与识别方法

研究模糊逻辑在战场声/地震动目标检测和识别中的有效算法.应用模糊集理论与模糊逻辑推理方法,在分析目标信息不确定性的基础上设计了适用于目标检测和分类的隶属函数,建立了相应的推理规则,构成了战场侦察传感器系统目标检测和分类的模糊逻辑推理系统.典型战场目标信号样本检验表明,该方法具有良好的检测和识别分类效果,利用基于模糊逻辑的分类器实现对战场声/地震动目标的检测和识别分类是可行的.

Fuzzy Logic Reasoning Method Based Detection and Recognition of Battlefield Targets

Explores the effectiveness of detection and classification according to the characteristics of acoustic and seismic signal of battlefield targets, based on the fuzzy set theory and fuzzy logic reasoning method by analyzing the information uncertainty of target signal, the membership functions suited for target detection and target identification are constructed, and fuzzy reasoning rules are proposed. A fuzzy logic reasoning system for battlefield surveillance is set up to detect and identify the targets. It is demonstrated that the fuzzy logic has higher correct detection and identification rates for acoustic and seismic signals of battlefield targets according to target signal sample experiments, and the cassifier using fuzzy logic is suitable for the detection and classification of battlefield targets.