Phase Error Compensation in Imaging Systems Using Compressed Sensing Techniques

被引：2

作者：

Alvarez, Yuri ^{[1
]}

Rodriguez-Vaqueiro, Yolanda ^{[2
]}

Gonzalez-Valdes, Borja ^{[2
,3
]}

Martinez-Lorenzo, Jose Angel ^{[2
]}

Las-Heras, Fernando ^{[1
]}

Rappaport, Carey M. ^{[2
]}

机构：

[1] Univ Oviedo, Dept Elect Engn, Area Signal Theory & Commun, Gijon 33203, Spain

[2] Northeastern Univ, ALERT Ctr, Boston, MA 02115 USA

[3] Univ Vigo, Vigo 36310, Spain

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2013年 / 12卷

关键词：

Compressed sensing; imaging systems; phase error; synthetic aperture radar (SAR); SAR; AUTOFOCUS;

D O I：

10.1109/LAWP.2013.2293314

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：

A study of the capabilities for phase error correction of compressed sensing (CS) imaging techniques is presented. The idea is to show that CS method is able to recover reflectivity images with a reduced number of sensors even if the system suffers from phase errors. A comparison to the sparsity-driven approach (SDA) technique for phase error correction is presented, analyzing SDA and CS performance with different numbers of sensors, phase error values, and sensor placement uncertainties. Validation with synthetically blurred experimental data-collected using multistatic radar-is presented.

引用

页码：1574 / 1577

页数：4

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