Multipole-Based Sparse Electromagnetic Imaging

被引：0

作者：

Nikolic, Marija ^{[1
]}

Djordjevic, Antonije ^{[1
]}

Nehorai, Arye ^{[2
]}

机构：

[1] Univ Belgrade, Sch Elect Engn, Belgrade, Serbia

[2] Washington Univ, Preston M Green Dept Elect & Syst Engn, St Louis, MO USA

来源：

2014 IEEE CONFERENCE ON ANTENNA MEASUREMENTS & APPLICATIONS (CAMA) | 2014年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a novel sparse imaging approach based on the multipole expansion of the electric field. On the example of the complex target imaging, we show that higher-order multipoles provide additional pieces of information, which help to resolve cases in which standard sparse imaging fails. Therefore, higher-order sparse processing may be a valuable tool in target classification and shape estimation.

引用

页数：4

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