Open AccessResearch on radar behavior recognition method under the condition of electronic jamming
Author(s) -
Zhenyong Chu,
Nan Xiao,
Jun Liang
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 - 10.1088/1742-6596/1941/1/012043
Subject(s) - radar , jamming , grasp , computer science , electromagnetic environment , artificial intelligence , radar lock on , classifier (uml) , radar engineering details , radar imaging , telecommunications , physics , thermodynamics , programming language
In the course of ECM, the attacker needs to grasp the working state of the target radar by identifying its behaviors, so as to adopt the best attack strategy. Based on the correlation characteristics between nodes of the networked combat system, the proposed method processes the electromagnetic radiation parameters of the target radar and its cooperative radar, uses the support vector machine multi-classifier algorithm to identify the target radar's behaviors, and determines the influence of jamming on the radar's working states. The simulation results show that the proposed method has higher accuracy than the traditional method which only considers the target radar radiation parameters, and the selection of kernel function and electromagnetic radiation parameters are closely related to the accuracy of behavior recognition.