Zonglin Yang;Zhimin Zhang;Huaitao Fan;Chen Zhen;Yongwei Zhang
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摘要

高分辨率宽扫描合成孔径雷达(HRWS SAR)系统能够更准确、更快速地获取全面、广泛的地面信息,提高目标探测、识别、确认和描述的精度。其常见的实现方法是方位多通道合成孔径雷达(SAR),这已成为近年来合成孔径雷达领域的研究热点。在实际应用中,会出现信道故障导致相应数据丢失的情况,在这种情况下,不可能获得高质量的高分辨率宽扫描图像。目前,还没有很好的方法来解决一个通道数据完全丢失的数据恢复问题。为解决这一问题,本文提出了一种基于迭代自适应方法(IAA)和加权最小二乘法的方位角多通道合成孔径雷达缺失通道数据恢复方案。点目标模拟和机载合成孔径雷达系统产生的数据证明了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Azimuth Multichannel SAR Signal Recovery for One Channel Data Completely Missing
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.
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