基于峭度加权VMD和熵特征的雷达脉内调制识别 刘玉欣.pdf

电讯技术
Telecommunication Engineering
ISSN 1001-893X,CN 51-1267/TN

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开放科学（资源服务）标识码（OSID）：
中图分类号： 文献标志码：A

Radar intra pulse modulation recognition based on kurtosis weighted
VMD and entropy features
Liu Yuxin1，Tian Runlan1，Ren Lin1，Sun Liang2
( of Aviation Operations and Services, Aviation University of Air Force, Changchun 130022, China;
2. Unit 93110 of the PLA, Beijing 100843, China)
Abstract: In view of the difficulties in identifying the intra pulse modulation pattern of radar signal in complex
electromagnetic environment and the limited recognition accuracy affected by noise, an identification method
combining variational modal decomposition and entropy feature extraction is proposed. Firstly, the radar signal is
decomposed by the improved VMD algorithm based on kurtosis weighting, and the optimal component set
composed of three intrinsic mode function is obtained; secondly, the fuzzy entropy, permutation entropy and
symbol entropy of each component are calculated respectively, so as to extract the entropy feature information;
final