The increasing amount of space debris poses a growing challenge in the development of space travel. In previous work, a proposed system comprising of a low budget space-borne passive radar based on CubeSAT, flying in Low Earth Orbit (LEO), demonstrated promising results in terms of space debris detection performance. In this work, a novel shadow inverse synthetic aperture radar (SISAR) model for space debris imaging based on nanosatellite is presented. An analysis of the received forward scattering signal is provided along with a novel model for moving transmitters and receivers SISAR imaging. Using simulated data and assuming different scenarios, the performance of the new algorithm is assessed; wherein, a classification scheme is applied using the output of the SISAR algorithm for classification between simple target shapes.

中文翻译：

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基于纳米卫星的SISAR空间碎片成像

越来越多的空间碎片对空间旅行的发展提出了越来越大的挑战。在先前的工作中，一个提议的系统包括一个基于CubeSAT的低预算星载无源雷达，它在近地轨道（LEO）上飞行，在空间碎片探测性能方面显示出令人鼓舞的结果。在这项工作中，提出了一种新颖的基于纳米卫星的阴影反合成孔径雷达（SISAR）模型，用于空间碎片成像。对接收到的前向散射信号进行了分析，并提供了用于移动发射机和接收机SISAR成像的新型模型。使用模拟数据并假设不同的情况，评估新算法的性能；其中，使用SISAR算法的输出来应用分类方案，以在简单目标形状之间进行分类。