Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging

被引：0

作者：

Zhou Hanfei ^{[1
,2
]}

Su Yi ^{[2
]}

Xi Zemin ^{[1
]}

Lu Jianbin ^{[1
]}

机构：

[1] Naval Univ Engn, Coll Elect Engn, Wuhan 430033, Peoples R China

[2] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China

来源：

CHINESE JOURNAL OF ELECTRONICS | 2014年 / 23卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Multi-aspect SAR (MuSAR); Compressive sensing (CS); Point ambiguous function (PAF); Radar imaging; MIMO RADAR; RECONSTRUCTION;

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：

This paper focuses on the analysis and design of Multi-aspect SAR (MuSAR) system for Compressive sensing-based (CS-based) 3D imaging. For this purpose,the Point ambiguous function (PAF) is proposed to analyze the factors that dominate the Mutual coherence (MC) of MuSAR sensing matrix. The PAF contacts with the parameters and configuration of MuSAR system directly and is easy to manipulate. With PAF, the present study analyzes the factors that dominate the performance of CS-based MuSAR 3D imaging. First of all, the stochastic waveform is an excellent selection. Second, the angular-frequency-diversity can improve the robustness of 3D imaging. Finally, the finer sampling of received data could improve the robustness of MuSAR 3D imaging. Simulation experiments show the validity of conclusion.

引用

页码：621 / 627

页数：7

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