摘要
目的 :研究战场上强不确定背景条件下声目标的自动识别问题 ;方法 :采用基于模糊综合评判的最大隶属原则分类器来实现对战场声目标的自动识别分类 ;结果 :实测的四种车辆信号样本检验表明 :该方法对四种车辆声信号具有良好的识别分类效果 ;结论 :利用基于模糊综合评判的最大隶属原则分类器来实现对战场声目标的自动识别分类是可行的。
In order to study the automatic recognizing problem of an acoustic target under the condition of indetermination background in the battle fields,this paper adopts the classifier of the maximum subjection principle based on fuzzy synthesis judgement to realize its automatic recognition moreover, four kinds of tested vehicle samples are measured and the results obtained have shown that it is feasible to use the above classifier to do the automatic recognition and classification of the acoustic targets in the battle fields.
出处
《探测与控制学报》
CSCD
2000年第1期35-39,共5页
Journal of Detection & Control
基金
国防科工委预研基金
关键词
特征提取
特征选择
组合特征
隶属函数
模糊综合评判
feature extract
feature choice
comprehensive feature
subjection function
fuzzy senthesis judgement.