An Online Jamming Effect Evaluation Method for Asymmetric Radar Information in Complex Electromagnetic Environment
Wenxu Zhang, Yajie Wang, Zhongkai Zhao, Tong Zhao, Manjun Lu · IEEE Geoscience and Remote Sensing Letters · 2023
In the dynamic game between jammers and radars, it is easily affected by the complex electromagnetic environment, resulting in the generation of asymmetric radar information. In this paper, a jamming effect evaluation method for asymmetric radar information is proposed from the perspective of jammer. An online jamming effect evaluation model is constructed. An improved class-attribute contingency coefficient (ICACC) method is proposed. The feature attribute weight and inconsistency rate are used to constrain the division process of breakpoints, so that the discretization of radar data is more reasonable. At the same time, a basic belief assignment (BBA) correction method that combines probability similarity for asymmetric information is proposed. The output results of support vector machine (SVM) are corrected to reduce the influence of incomplete radar sample data on the discriminant and evaluation results. Experiments show that the proposed method can achieve efficient jamming effect evaluation under asymmetric radar information conditions.