Research on Radar Emitter Signal Feature Extraction Method Based on Fuzzy Entropy

被引：5
|
作者：
Wang, Shi Qiang [1 ]
Zhou, Guo An [1 ]
Song, Bao Jun [1 ]
Gao, Cai Yun [1 ,2 ]
Wan, Peng Fei [1 ]
机构：
[1] Air Force Engn Univ, Air & Missile Def Coll, Xian 710051, Peoples R China
[2] Air Force Engn Univ, Basic Dept, Xian 710051, Peoples R China
来源：
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY [ICICT-2019] | 2019年 / 154卷
基金：
中国国家自然科学基金;
关键词：
radar emitter signal; feature extraction; Fuzzy Entropy; fuzzy set;
D O I：
10.1016/j.procs.2019.06.081
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the rapid application of the new radar system, radar signal sorting based on conventional parameters has not achieved the desired results. Therefore, new features need to be extracted for signal sorting. In response to this problem, the paper proposes to use the entropy theory to extract the fuzzy entropy characteristics of the radar signal to determine the uncertainty of the radar source signal. Experiments with test signals show that the fuzzy entropy characteristics are less affected by noise over a wide range of SNR. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：508 / 513
页数：6
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