Open AccessResearch on radar main lobe false target jamming feature extraction based on time-frequency domain and fluctuation characteristics
Author(s) -
Ke Wu,
Hojung Cha
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012079
Subject(s) - jamming , echo (communications protocol) , feature (linguistics) , computer science , radar , signal (programming language) , artificial intelligence , main lobe , frequency domain , feature extraction , time domain , domain (mathematical analysis) , pattern recognition (psychology) , algorithm , computer vision , mathematics , telecommunications , physics , computer network , linguistics , philosophy , mathematical analysis , antenna (radio) , thermodynamics , programming language
Aiming at radar main lobe false target jamming, the forms of target echo and jamming signal are analyzed, and its modeling and simulation are carried out. By extracting the 11 dimensional features of time domain, frequency domain and amplitude fluctuation characteristics, it is proved that it is distinguishable for real target echo and false target jamming signal through simulation experiment, and a feature model is established; aiming at the shortcomings of traditional classification model, bagging algorithm is applied to deal with the over fitting phenomenon. Simulation results show that the feature model established in this paper has good performance in bagging algorithm.