Processing of Incomplete Multichannel SAR Data for HRWS Imaging

Abstract

The multichannel SAR system is an advanced imaging technique that enables achieving high resolution and wide swath simultaneously. However, the fundamental hindrance in the multichannel SAR system is the failure of reception by the multiantenna system due to being in hostile working conditions. As a result of this, the received multichannel SAR data often suffer from the presence of missing samples in the azimuth domain. Besides this problem, the multichannel SAR system also has to deal with the azimuth ambiguities to obtain high azimuth resolution and wide swath. This kind of received multichannel SAR data consisting of missing azimuth samples and azimuth ambiguities cannot be processed with the conventional multichannel SAR algorithms. Therefore, we propose a novel multichannel reconstruction method to address both challenges, enabling imaging of wide swath width with high resolution from the received incomplete multichannel SAR data. Our method uses the minimum variance distortionless response (MVDR) algorithm to reconstruct an unambiguous wide azimuth spectrum. In the end, we have provided simulation results that validate the efficiency of the proposed reconstruction method.