无人机干扰敌方雷达性能优化仿真研究

Simulation Rearch on Performance Optimization of Unmanned Aerial Vehicle Interfered Radar

未来作战中,由于超低旁瓣、旁瓣对消等技术在雷达中的应用,对传统的电子干扰技术带来了极大地困难。虽然电子战无人机能起到较好的作用,但无人机干扰信号的选取也面临着巨大地挑战。针对以上问题,文中建立了灵巧噪声干扰信号和密集假目标干扰信号模型,采用MATLAB仿真分析了两种干扰信号对新体制雷达性能的干扰效果。结果表明,同等条件下密集假目标干扰信号同时具备了假目标欺骗性干扰与遮盖性干扰的各自优势,并将其应用到对新体制雷达(采用恒虚警检测)的干扰当中去,取得了较好的干扰效果。

In the future combat, due to ultra-low sidelobe, sidelobe cancellation and other technologies in the application of radar, the traditional electronic jamming technology has brought great diffculties. Although the electronic warfare unmanned aerial vehicle can play a better role, but the choice of UAV interference signal is also facing a huge challenge. Aiming at the above problems, a smart noise jamming signal and a dense false target jamming signal model are established, and the interference effect of the two jamming signals on the performance of the new system radar is analyzed by MATLAB simulation. The results show that under the same conditions, the fake target jamming signal possesses the advantages of false-target deceptive jamming and hiding jamming simultaneously and is applied to the interference of new system radar （using CFAR detection） has better interference effect.