Improved radar emitter fuzzy identification algorithm

被引：2
|
作者：
Li N. [1 ,2 ]
Qu C.-W. [1 ]
Su F. [1 ]
Ping D.-F. [1 ]
机构：
[1] Naval Aeronautical and Astronautical University
[2] Unit 91599 of PLA
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2010年 / 39卷 / 02期
关键词：
Emitter recognition; Evidence combination; Fuzzy theory; Subordinate;
D O I：
10.3969/j.issn.1001-0548.2010.02.006
中图分类号：
学科分类号：
摘要：
Radar emitter identification algorithm based on fuzzy theory is improved. By analyzing fuzzy subordinate values and then using evidence combination principle to combine these values, the recognition uncertainty is solved. The class decision-making is carried out based on optimization subordinate rule, the accurate recognition rate is increased. Simulation experiment shows that new algorithm identification rate more than 90% when SNR higher than 0 dB compared with fuzzy identification method.
引用
收藏
页码：182 / 185
页数：3
相关论文
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