基于模糊融合的目标检测算法研究

Study on Target Detection Algorithm Based on Fuzzy Fusion

针对经典决策层融合检测过程中本地“硬”判决导致的信息损失问题 ,利用模糊子集理论 ,提出了一种基于模糊“软”判决的融合检测方法。理论分析与仿真实验表明 ,该方法优于传统的“K秩”方法 ,ROC雷达工作曲线接近理论最优曲线。

A novel fusion scheme is presented based on fuzzy sets, considering the problem of information loss resulting from local "hard" decision during the traditional decision layer fusion process.The theoretical analysis and simulation results show that this method works better than traditional " K rank" fusion rule, and the ROC curve approaches the optimum.