Enhancement of stepped-frequency SAR imaging based on compressive sensing

Author

Bo Pang ; Dahai Dai ; Shiqi Xing ; Yongzhen Li ; Xuesong Wang ; Jian Dong

Author_Institution

State Key Lab. of Complex Electromagn. Environ. Effects on Electron. & Inf. Syst., Nat. Univ. of Defense Technol., Changsha, China

fYear

2013

fDate

6-10 Oct. 2013

Firstpage

1815

Lastpage

1818

Abstract

In this paper, a novel CS imaging framework is proposed for the purpose of improving the imaging performance of stepped frequency synthetic aperture radar (SAR). Meanwhile, a super-resolving imaging algorithm is proposed based on the nonquadratic optimization technique. Simulated and rail SAR measured data are applied to demonstrate the efficiency of the novel framework with proposed super-resolving algorithm. Experimental results validate the superiority of this method over previous approaches in terms of robustness in low SNR, better super-resolving ability and improved imaging performance in complex scene.

Keywords

compressed sensing; optimisation; radar imaging; synthetic aperture radar; CS imaging framework; compressive sensing; nonquadratic optimization technique; rail SAR measured data; simulated SAR measured data; stepped frequency synthetic aperture radar; stepped-frequency SAR imaging enhancement; super-resolving imaging algorithm; Azimuth; Bandwidth; Image resolution; Imaging; Radar imaging; Signal resolution; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference (EuMC), 2013 European

Conference_Location

Nuremberg

Type

conf

Filename

6687032