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A novel approach for wide-swath and high-resolution SAR image generation from distributed small spaceborne SAR systems

机译：从分布式小型星载SAR系统生成广域和高分辨率SAR图像的新方法

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In this paper we investigate the possibility to produce high-resolution synthetic aperture radar (SAR) images of wide areas from the data collected by the distributed small spaceborne SAR systems. In particular, we focus on the data processing techniques for overcoming the Doppler ambiguity effects characterizing ground echoes and achieving high-resolution SAR images of wide areas. A novel approach is proposed, the key idea of which is to retrieve the unambiguous azimuth wide (full) spectrum signal from the received ground echoes by using a space-time adaptive processing (STAP) algorithm to overcome the Doppler aliasing effect induced by the lower pulse repetition frequency (PRF); following this operation, conventional SAR data processing tools can be applied to fully focus the SAR images. The STAP-based approach has the advantages of simplicity, robustness and high efficiency. We also discuss the array configuration requirements, and give a platform velocity/PRF criterion for array configurations.
机译：在本文中，我们研究了从分布式小型星载SAR系统收集的数据中生成大面积高分辨率合成孔径雷达（SAR）图像的可能性。尤其是，我们专注于数据处理技术，以克服表征地面回波的多普勒模糊效应并获得宽区域的高分辨率SAR图像。提出了一种新颖的方法，其关键思想是通过使用空时自适应处理（STAP）算法从接收到的地面回波中获取明确的方位角宽（全）频谱信号，以克服由下回波引起的多普勒混叠效应。脉冲重复频率（PRF）；完成此操作后，可以使用常规SAR数据处理工具来完全聚焦SAR图像。基于STAP的方法具有简单，耐用和高效的优点。我们还将讨论阵列配置要求，并给出阵列配置的平台速度/ PRF标准。

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