基于特征模态理论的狭缝无人机雷达截面积减小

2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM) Pub Date : 2021-11-28 DOI:10.1109/iwem53379.2021.9790644

Ling Chen, Yizhao Wang, Xiaodong Ye, Hao Wang, S. Tao

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引用次数: 0

摘要

提出了一种基于特征模态理论(CMT)的狭缝无人机雷达截面积减小方法。首先，通过特征模态分析(CMA)得到无人机在不同模式下的强特征电流分布位置;然后，在重叠位置上进行缝隙加载技术，达到降低无人机RCS的目的。实验结果表明，在不同的平面波入射方向上，RCS减小。无人机可以在2~3 GHz范围内实现峰值8dBsm的RCS降频。该方法可为无人机隐身技术提供一种新的设计思路。

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Radar Cross Section Reduction for Slot-loaded UAV Based on Characteristic Mode Theory

In the paper, radar cross section (RCS) reduction method for slot-loaded UAV based on characteristic mode theory (CMT) is proposed. Firstly, the strong characteristic current distribution positions of UAVs in different modes are obtained through characteristic mode analysis (CMA). Then, the slot-loaded technology is carried out on the overlapping position to achieve the purpose of RCS reduction of UAV. The experimental results show that RCS is reduced in different incident directions of plane waves. UAV can achieve RCS reduction with the peak of 8dBsm within 2~3 GHz. The proposed method can provide a new design idea for stealth technology of UAV.

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来源期刊

2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)

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