论文标题
使用编码孔径的空间对象成像
ISAR imaging of space objects using encoded apertures
论文作者
论文摘要
对卫星的主要威胁是空间碎片，其质量低和旋转速度很高。因此，这些对象的简短观察时间是空间研究的主要限制，以进行适当的检测和决策。结果，这些对象并未完全照亮，从而在任何快照处都会导致其不完整的图像。在本文中，我们提出了一种减少给定观察时间快照数量的方法，并使用称为编码光圈的每个快照数量有限的点梁。为了恢复空间碎屑图像，根据压缩感应方法定义了一个反问题。另外，我们表明，对于卫星成像，T V规范更合适。我们开发了使用L1和T V规范回收空间碎片和卫星的程序。使用仿真结果，我们根据快照，MSE，SNR和运行时间的数量将结果与众所周知的SBL和SL0标准进行比较。结果表明，我们提出的方法可以使用较少数量的快照成功地恢复空格对象图像。
A major threat to satellites is space debris with their low mass and high rotational speed. Accordingly, the short observation time of these objects is a major limitation in space research for appropriate detection and decision. As a result, these objects do not fully illuminated, leading to their incomplete images at any snapshot. In this paper, we propose a method to decrease the number of snapshots in a given observation time and using a limited number of spot beams per snapshot called the encoded aperture. To recover the space debris images, an inverse problem is defined based on compressive sensing methods. Also, we show that for satellite imaging the T V norm is more appropriate. We develop a procedure to recover space debris and satellites using L1 and T V norms. Using simulation results, we compare the results with the well-known SBL and SL0 norm in terms of the number of snapshots, MSE, SNR, and running time. It is shown that our proposed method can successfully recover the space objects images using a fewer number of snapshots.
