Azimuth Multichannel SAR Signal Recovery for One Channel Data Completely Missing

Abstract

The high-resolution wide-swath synthetic aperture radar (HRWS SAR) system enables achieving comprehensive and extensive ground information more accurately and rapidly, enhancing the precision of target detection, identification, confirmation, and description. A common implementation approach of it is azimuth multichannel synthetic aperture radar (SAR), which has become a research hot spot in the field of SAR in recent years. In practice, there is a situation where a channel failure leads to the loss of corresponding data, and in such cases, it is impossible to obtain a high-resolution wide-swath image of quality. Currently, there is no good method to address the data recovery issue for one channel data completely missing. To solve this problem, in this letter, a scheme based on iteration adaptive approach (IAA) and weighted least squares method is proposed for azimuth multichannel SAR missing channel data recovery. Point target simulations and data generated from airborne SAR system demonstrate that the proposed scheme is effective.