Affiliation of Author(s):电子信息工程学院

Journal:ELECTRONICS LETTERS

Key Words:synthetic aperture radar radar imaging approximation theory generalised orthogonal matching pursuit synthetic aperture radar raw data phase compensation range Doppler domain Omega-K algorithm reconstructed raw data azimuth periodical gapping SAR raw data high-resolution SAR imaging azimuth periodically gapped raw data raw data recovery

Abstract:Occurrence of periodical gapping in synthetic aperture radar (SAR) raw data poses a challenge in obtaining focused images. Traditional SAR imaging algorithms fail to process the periodically gapped raw data. A method is proposed to solve this problem. The presented method consists of phase compensation and recovering raw data in range Doppler domain via generalised orthogonal matching pursuit. Then, the recovered raw data is capable of being processed with the traditional SAR imaging algorithms. The Omega-K algorithm is selected to focus the reconstructed raw data. The presented method is validated on performing better in comparison with the spectral method periodically gapped amplitude and phase estimation by point target simulation and analysis. In simulation, the raw data loses 50% by the form of azimuth periodical gapping. The resolution of point targets can reach 0.25 m in both azimuth and range direction. In addition, real SAR raw data is utilised to verify the effectiveness of the proposed method.

ISSN No.:0013-5194

Translation or Not:no

Date of Publication:2018-10-18

Co-author:Qian, Yulei

Correspondence Author:Daiyin Zhu