Satellites detection, tracking and cataloguing system

Jakub Kopyciński, P. Kukliński, W. Rzesa, Bartłomiej Majerski, Agnieszka Borucka, Kamil Choromański
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引用次数: 1

Abstract

The growth in the amount of space debris in the Earth orbit demands more and more effort to establish space situational awareness (SSA) programmes. The solutions used by many countries, including France and the United States are complex as well as expensive. The aim of the project in question was to establish an affordable and simple radar-based surveillance system allowing to detect, track and catalogue objects in the outer space. The main elements used were: a Yagi antenna with proper equipment as a Doppler-shifted signal receiver, two programs for raw data analysis and orbit fitting as well as a database containing information about detected satellites. Basing on the frequency of signals emitted by the Graves radar, an object orbit estimation was made using a C++ program and then stored in a database. The phenomenon of relativistic Doppler effect was considered while analysing the data. The amplitude of signal gave the frequency as function of time. Next, a circular orbit approximation was found and saved to the database. On average 1176 satellite flights have been registered every week so far. The total cost of the system did not exceed €430, whereas the whole ESA's Space Situational Awareness Programme needs a budget of €95 million. It was possible to create a low-cost and uncomplicated part of a SSA system. The last and only functionality left is object identification by its cross section, which is planned to be developed in the near future.
卫星探测、跟踪和编目系统
地球轨道上空间碎片数量的增加要求越来越多地努力建立空间态势感知方案。包括法国和美国在内的许多国家使用的解决方案既复杂又昂贵。该项目的目的是建立一个负担得起的、简单的基于雷达的监视系统,以便探测、跟踪和编目外层空间的物体。使用的主要元素是:一个八木天线,带有适当的设备作为多普勒移位信号接收器,两个用于原始数据分析和轨道拟合的程序,以及一个包含被探测卫星信息的数据库。根据格雷夫斯雷达发射信号的频率,利用c++程序进行目标轨道估计,并将其存储在数据库中。在分析数据时考虑了相对论多普勒效应现象。信号的幅值给出了频率随时间的函数。然后,找到一个圆形轨道近似值并保存到数据库中。到目前为止,平均每周有1176次卫星飞行登记。该系统的总成本不超过430欧元,而整个欧空局的空间态势感知计划需要9500万欧元的预算。有可能创建一个低成本且不复杂的SSA系统部分。最后也是唯一剩下的功能是通过其横截面来识别物体,这是计划在不久的将来开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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