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基于压缩感知结合HFSS软件求解目标单站RCS问题 被引量:5

Solving Target Monostatic RCS with Hybrid Method of CS and HFSS
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摘要 针对传统数值算法处理多角度入射目标电磁散射问题计算量大的劣势,根据压缩感知理论设计了一种含有丰富入射角度信息的激励源,结合Ansys HFSS商业软件的建模功能,形成一种快速处理目标单站RCS分析方法,通过对理想导电立方体和微带阵列天线等算例的分析,验证了新算法与传统方法相比具有计算效率高、处理复杂目标能力强等优点。 The traditional algorithms have computationally intensive disadvantage to handle electromagnetic scattering of multi-angle incident target. In order to resolve problems of this kind,a new excitation source is constructed based on compressive sensing( CS) theory,in which much incident angle information is included. The new excitation source in conjunction with the Ansys HFSS is introduced to construct a new fast computational method to calculate monostatic radar cross section( RCS). The numerical results conducted on the scattering from perfectly conducting cube and microstrip array antenna demonstrate that the new algorithm improves the computational efficiency,and it is more fit for handle complex target problem of monostatic RCS than traditional algorithm.
出处 《微波学报》 CSCD 北大核心 2015年第3期7-10,共4页 Journal of Microwaves
基金 国家自然科学基金项目(51477039 51207041) 教育部重点科研项目(212081) 安徽省高校重点项目(KJ2012A242) 安徽大学研究生学术创新研究项目(2012514)
关键词 压缩感知 HFSS 单站RCS 快速算法 compressive sensing,HFSS,monostatic RCS,fast algorithm
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参考文献9

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