摘要
分布式检测系统中局部检测器的决策信息会影响融合中心的决策结果。在先验概率和代价函数处于不确知的模糊状态下,提出了一种新型的局部检测器判决阈值算法。在相同案例下进行的计算机仿真结果表明:采用阈值确定算法得到的融合中心的Bayes风险值和Bayes风险隶属度函数更接近真实情况。
The local detector' s decision information will influence the decision of the fusion center in the distributed detection system.Under the uncertainty and fuzzy of prior probability and cost function this paper puts forward a new type of local decision threshold detector algorithm.Same as the reference under the case of the computer simulation,the results of this article show that the proposed threshold determination algorithm to get the Bayes risk value of the fusion center and the Bayes risk membership functions closer to the real situation.
出处
《重庆理工大学学报(自然科学)》
CAS
2013年第10期71-74,共4页
Journal of Chongqing University of Technology:Natural Science
基金
甘肃省科技计划资助项目(1208RJZA105)
甘肃省教育厅项目(1005B-12)
关键词
阈值
局部检测器
分布式检测系统
梯形模糊数
隶属度函数
threshold
local detector
distributed detection system
trapezoidal fuzzy number
membership functions