Open AccessRadar Emitter Identification Based on Spectral Resemblance Coefficient
Author(s) -
Lei Wang,
Zhiyong Zhang,
Weigui Zeng,
Meishan Chen
Publication year - 2022
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 - 10.1088/1742-6596/2242/1/012023
Subject(s) - radar , identification (biology) , common emitter , computer science , jamming , electronic warfare , signal (programming language) , interference (communication) , electronic engineering , modulation (music) , acoustics , physics , telecommunications , engineering , channel (broadcasting) , botany , biology , programming language , thermodynamics
The traditional radar emitter identification method based on the five parameters of the pulse is difficult to achieve the desired effect in today’s abnormally dense electromagnetic environment. Modern radars often impose intentional modulation in the signal to improve the anti-jamming and low interception performance. Therefore, a radar emitter identification method based on the spectrum resemblance coefficient is proposed in this paper, which reflects the approximation degree between the signal spectrum and various basis functions by calculating the resemblance coefficients between them. Simulation results show that the method proposed in this paper has strong anti-interference capability and can effectively distinguish different types of intra-pulse modulated radar signals.