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基于模糊融合的目标检测算法研究
引用本文:徐振海,王雪松,肖顺平,庄钊文.基于模糊融合的目标检测算法研究[J].国防科技大学学报,2000,22(4):65-68.
作者姓名:徐振海  王雪松  肖顺平  庄钊文
作者单位:国防科技大学电子科学与工程学院,湖南,长沙,410073
基金项目:国家自然科学基金资助项目! ( 6990 2 0 10 )
摘    要: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。

关 键 词:信息融合  检测  模糊  隶属度
收稿时间:2000/1/15 0:00:00

Study on Target Detection Algorithm Based on Fuzzy Fusion
XU Zhenhai,WANG Xuesong,XIAO Shunping and ZHUANG Zhaowen.Study on Target Detection Algorithm Based on Fuzzy Fusion[J].Journal of National University of Defense Technology,2000,22(4):65-68.
Authors:XU Zhenhai  WANG Xuesong  XIAO Shunping and ZHUANG Zhaowen
Institution:College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China
Abstract: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.
Keywords:information fusion  detection  fuzzy  membership  
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