Experimental results of spaceborne stripmap SAR raw data imaging via compressed sensing

Author

Jiang, Hai ; Chenglong Jiang ; Zhang, BingChen ; Hong, Wen ; Wu, YiRong

Author_Institution

Nat. Key Lab. of Sci. & Technol. on Microwave Imaging, Beijing, China

Volume

1

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

202

Lastpage

205

Abstract

Compressed sensing (CS) is a new theory that enables sampling below the Nyquist rate, while the quality of reconstruction is guaranteed. This theory is applied to sparse circumstance. Based on this theory, this paper proposes a feasible method for the spaceborne stripmap synthetic aperture radar (SAR) raw data imaging. The technique presented is introduced as an alternative option to the traditional matched filtering. An experiment with SAR raw data is also described. Its purpose is to show that CS can be applied to spaceborne stripmap SAR raw data.

Keywords

Nyquist criterion; matched filters; radar imaging; spaceborne radar; synthetic aperture radar; Nyquist rate; compressed sensing; matched filtering; raw data imaging; reconstruction quality; spaceborne stripmap SAR; sparse circumstance; synthetic aperture radar; Azimuth; Compressed sensing; Imaging; Radar imaging; Radar polarimetry; Spaceborne radar; Compressed Sensing; Raw Data; Synthetic Aperture Radar (SAR);

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159511

Filename

6159511