Title :
A compressed sensing method for a wider swath in synthetic aperture imaging
Author :
Huichen Yan ; Jia Xu ; Shibao Peng ; Xudong Zhang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
In this paper, a novel synthetic aperture imaging method based on compressed sensing (CS) is presented. The method, employing a novel sampling matrix, provides a new sampling scheme to prevent from azimuth ambiguity in wider imaging swath observation. With fewer azimuth observations, the method provides acceptable imaging results and solves the ambiguity problem successfully. The novel method requires no modification to the hardware of contemporary imaging devices but lower pulse repetition frequency. It shares the advantages of reduced data amount, and no side lobe distort as well. Experiments are conducted to show the robustness of the method under a wide range of SNRs.
Keywords :
compressed sensing; image denoising; image sampling; matrix algebra; radar imaging; synthetic aperture radar; azimuth ambiguity prevention; compressed sensing method; noise robustness; pulse repetition frequency; sampling matrix; sampling scheme; synthetic aperture imaging method; wider imaging swath observation; Synthetic aperture imaging; azimuth ambiguity; compressed sensing; noise robustness;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0196