三维随机粗糙海面与舰船的复合电磁特性的高频方法分析研究

何姿; 陈如山

doi:10.12000/JR19032

三维随机粗糙海面与舰船的复合电磁特性的高频方法分析研究

DOI: 10.12000/JR19032

何姿,
陈如山^,

南京理工大学电光学院南京 210094

基金项目: 国家自然科学基金(61701232, 61431006)，江苏省自然科学基金(BKs20170854)，中国科协青年人才托举工程(2017QNRC001)，中国博士后基金(2017M620861, 2018T110127)

详细信息

作者简介:
何　姿(1988–)，女，博士，讲师。2016年6月在南京理工大学获得博士学位，2015年9月到2016年9月在美国伊利诺伊大学香槟分校(UIUC)交流访问。主要研究方向为计算电磁学、特征提取、目标识别，近年来在学术期刊、会议上发表论文60余篇，其中被SCI收录期刊论文30余篇。博士论文《目标电磁散射特性的抛物线方程方法研究》荣获2016年度中国电子学会优秀博士学位论文优秀奖；2017年度成功入选中国科协信息科技学会联合体青年人才托举工程；2018年度荣获International Applied Computational Electromagnetics Society (ACES) Symposium国际会议组颁发的“Young Scientist Award Scheme”

陈如山(1965–)，男，博士、教授、博士生导师，江苏省政协委员，教育部“长江学者”特聘教授，国家杰出青年科学基金获得者，享受国务院政府特殊津贴，国务院学位委员会学科评议组“电子科学与技术组”成员，“新世纪百千万人才工程”国家级人选，“十二五”国防基础研究专家组成员，教育部“长江学者和创新团队发展计划”创新团队带头人，国家重点学科“电磁场与微波技术”学科带头人，江苏省“青蓝工程”科技创新团队带头人，国际电子学报副主编，现为南京理工大学教授，博士生导师，电子工程与光电技术学院副院长。在电磁脉冲与瞬态电磁场、电磁兼容与雷达隐身技术、计算电磁学等方面发表论文160多篇，科学引文索引(SCI)收录论文140篇，(EI)收录论文120篇。曾获2000年度工程类科学引文索引(SCI)收录论文数为全国第一，南京市自然科学优秀学术论文三等奖，江苏省科技进步三等奖，国家教委科技进步三等奖，国家教委科技进步二等奖，江苏省国防工办科技进步一等奖，兵器工业集团公司科技进步二等奖，军队科技进步奖二等奖2项、三等奖1项。2015年江苏省研究生培养模式改革成果一等奖。目前已获得国防发明专利14项，实用新型发明专利8项

通讯作者:
陈如山　eerschen@njust.edu.cn

中图分类号: TN011
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出版历程
- 收稿日期: 2019-02-28
- 修回日期: 2019-04-04
- 网络出版日期: 2019-06-01

Study on Efficient High Frequency Method of Electromagnetic Scattering from Ships above Sea Surface

HE Zi,
CHEN Rushan^,

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds: The National Natural Science Foundation of China (61701232, 61431006), Jiangsu Province Natural Science Foundation (BKs20170854), The Young Elite Scientists Sponsorship Program (2017QNRC001), China Postdoctoral Science Foundation (2017M620861, 2018T110127)

More Information

Corresponding author: CHEN Rushan, eerschen@njust.edu.cn

摘要

摘要: 3维随机粗糙海面与其上方复杂目标复合电磁(EM)散射特性的建模与分析在微波遥感、目标识别、雷达成像、导弹制导等领域中有着重要的研究价值。该文主要研究了基于高频算法的随机粗糙海面及舰船的复合电磁散射特性，开发了PO-IPO混合方法，为3维随机粗糙海面与复杂目标一体化高效求解提供了新思路。文中分别使用了物理光学方法(PO)、迭代物理光学方法(IPO)、PO-PO以及PO-IPO混合方法对海面及舰船进行了建模与仿真，其中，引入锥形波来代替平面波作为发射源，锥形波可以更好地抑制粗糙面在边缘位置被突然截断而形成的电磁反射和边缘绕射等效应。从数值仿真结果中可以看出，PO-IPO混合方法可将复杂物体本身面元间以及粗糙海面与物体间的耦合作用考虑在内，因此PO-IPO可以作为一种有效的途径来快速获取随机粗糙海面及舰船的复合电磁散射特性。
- 随机粗糙面 /
- 舰船 /
- 电磁散射特性 /
- 锥形波
Abstract: The study on the composite ElectroMagnetic (EM) scattering characteristics of electrically large ships over a random rough surface is significant in the fields of microwave remote sensing, target recognition, and radar imaging. In this paper, an efficient PO-IPO hybrid method is proposed to analyze the scattering from complex targets over the sea surface. The PO method can be used to analyze the scattering from an electrically large sea surface. However, low accuracy will be achieved for targets with complex structures. Therefore, the IPO is applied for computation herein. In the numerical results, several high-frequency methods (PO, IPO, PO-PO, and PO-IPO) are used to analyze the scattering characteristics of targets over the sea surface. Notably, the tapered wave is used as the source in the numerical results, which can restrain the EM reflection and edge diffraction. The results also indicate that the proposed PO-IPO can be used as an efficient tool to obtain the scattering characteristics of complex targets over the sea surface.
- Random rough surface /
- Ship /
- EM scattering /
- Tapered wave

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图 1 多路径模型基本原理

Figure 1. Theory of multipath model

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图 2 PO-IPO算法流程图

Figure 2. Flow chart for PO-IPO

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图 3 PM谱粗糙面模型

Figure 3. Model of PM rough surface

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图 4 入射角度为${\theta _{\rm i}}$=30°粗糙海面模型的双站RCS结果对比

Figure 4. Bistatic RCS results for the PM rough surface when ${\theta _{\rm i}}$=30°

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图 5 入射角度为${\theta _{\rm i}}$=60°粗糙海面模型的双站RCS结果对比

Figure 5. Bistatic RCS results for the PM rough surface when ${\theta _{\rm i}}$=60°

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图 6 舰船模型示意图

Figure 6. Model of ship

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图 7 舰船模型的双站RCS结果对比

Figure 7. Bistatic RCS results for the ship model

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图 8 粗糙海面与缩比舰船组合模型示意图

Figure 8. Model of ship over rough sea surface

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图 9 粗糙海面与缩比舰船组合模型的双站RCS结果对比

Figure 9. Bistatic RCS results for the ship model over rough sea surface

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图 10 粗糙海面与舰船组合模型示意图

Figure 10. Model of full-size ship over rough sea surface

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图 11 粗糙海面与舰船组合模型的双站RCS结果对比

Figure 11. Bistatic RCS results for the full-size ship model over rough sea surface

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表 1 PO与JMCFIE计算资源对比

Table 1. Comparison of computational resources between PO and JMCFIE

数值方法时间(s) 内存(MB)

SBR 27 176
PO 23 174
JMCFIE 1956 5912

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表 2 SBR, IPO与MoM-MLFMA计算资源对比

Table 2. Comparison of computational resources among SBR, IPO and MoM-MLFMA

数值方法时间(s) 内存(MB)

SBR 15 58
IPO 2593 74
MoM-MLFMA 112570 1178

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表 3 PO-IPO与JMCFIE计算资源对比

Table 3. Comparison of computational resources between PO-IPO and JMCFIE

数值方法时间(s) 内存(MB)

PO-IPO 471.8 42.5
JMCFIE 8994.0 21645.0

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