MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

被引：0

作者：

Liu, Feng ^{[1
]}

Mu, Shanxiang ^{[1
]}

Lv, Wanghan ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Jiangsu, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2017年 / 2017卷

关键词：

WAVE-FORM; SIGNAL RECOVERY;

D O I：

10.1155/2017/9310865

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.

引用

页数：13

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