A Space-Mapping-Based Optimal EM Design of RCS Reduction for Electrically Large Targets
A Space-Mapping-Based Optimal EM Design of RCS Reduction for Electrically Large Targets
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基于空间映射的电大目标RCS缩减优化电磁设计
DOI：
10.1109/tap.2021.3069560
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发表时间：
2021-10
影响因子：
5.7
通讯作者：
Chen Rushan
中科院分区：
文献类型：
--
作者：
He Zi;Li Yusheng;Gu Pengfei;Leung Kwok Wa;Chen Rushan
提出了一种有效的电磁优化方法来降低雷达散射截面（RCS）以实现隐身。首先，建立了两个优化模型，即粗模型和细模型来描述散射问题。更具体地，射击和弹跳射线（SBR）方法的粗略模型提供比矩量法（MoM）的精细模型更差的精度结果。然而，与精细模型相比，粗略模型需要较少的计算资源。然后将SBR方法应用到蜂鸟优化算法中，得到粗模型的解。第三，利用矩量法对粗模型的解进行了精细模型的验证。注意到阻抗边界条件的应用，以加速计算。最后，使用信赖域侵略空间映射（TRASM）算法来寻找SBR和MoM方法之间的最优解。通过建立这两个模型之间的映射关系，优化效率可以得到显著提高，具有较高的精度。数值结果表明，所提出的优化技术可以作为一个快速的工具，隐身设计的RCS缩减。计算结果表明，该优化方法可以有效地减小雷达散射截面。
An efficient electromagnetic (EM) optimization technique for radar cross section (RCS) reduction is proposed to achieve stealth. At first, two optimization models, namely coarse and fine models, are constructed to describe the scattering problem. More specifically, the coarse model of shooting and bouncing ray (SBR) method provides worse accuracy results than the fine model of the method of moment (MoM). However, less computational resources are needed for the coarse model when compared with the fine model. Then the SBR method is implemented into the Hummingbird optimization algorithm to obtain the solution of the coarse model. Third, the solution of the coarse model is verified for the fine model by using the MoM. Noted that the impedance boundary condition is applied to accelerate the calculation. At last, the trust region aggressive space-mapping (TRASM) algorithm is used to find the optimal solution between the SBR and MoM methods. By building the mapping relationship between these two models, the optimization efficiency can be significantly improved with high accuracy. Numerical results are given to demonstrate that the proposed optimization technique can be used as a fast tool for the cloaking design of RCS reduction. It is found that the RCS can be reduced largely by using the proposed optimization technique.
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影响因子：
6.7
作者：
Shiquan He;Z. Nie;Jun Hu
通讯作者：
Shiquan He;Z. Nie;Jun Hu
影响因子：
1.5
作者：
Song-hua Liu;Li-xin Guo
通讯作者：
Song-hua Liu;Li-xin Guo
DOI：
10.1109/tmtt.2006.890524
发表时间：
2007-03
影响因子：
4.3
作者：
S. Koziel;J. Bandler
通讯作者：
S. Koziel;J. Bandler
影响因子：
5.7
作者：
Su, Jianxun;Lu, Yao;Song, Jiming
通讯作者：
Song, Jiming
DOI：
10.1002/mmce.20768
发表时间：
2014-05
期刊：
International Journal of RF and Microwave Computer‐Aided Engineering
影响因子：
--
作者：
Juan Xu;Zhaolong Li;Rushan Chen
通讯作者：
Juan Xu;Zhaolong Li;Rushan Chen