摘要
提出了一种将 D- S证据理论与模糊理论组合应用的方法用于雷达信号的识别 ,通过对信号的积累和对信任度 (模糊隶属度 )的重新分配 ,有效地解决了雷达信号的不确定性问题以及如何利用信号在时间上的冗余信息问题 ,提高了信号的正确识别率。并用仿真实验和正确识别率的统计结果验证了这种方法的适用性。
This paper presents a method which applies the combination of Demopster-Shafer reasoning and fuzzy theory in recognizing radar signals. To improve the probability of accurate recognition, this method is more effective in solving the problem of indeterminacy and in utilizing the temporal redundancy of radar signals by means of accumulating and redistributing the subordinate function. The imitation experiment and its statistical results show that the method is applicable .
出处
《现代雷达》
CSCD
北大核心
2002年第4期7-9,26,共4页
Modern Radar
关键词
D-S证据推理
雷达
信号
模糊识别
隶属度函数
radar signal, fuzzy recognition, subordinate function, demopster-shafer reasoning
