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A Study on Re-entry Predictions of Uncontrolled Space Objects for Space Situational Awareness

  • Choi, Eun-Jung (Korea Astronomy and Space Science Institute) ;
  • Cho, Sungki (Korea Astronomy and Space Science Institute) ;
  • Lee, Deok-Jin (School of Mechanical Automotive Engineering, Kunsan National University) ;
  • Kim, Siwoo (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Jo, Jung Hyun (Korea Astronomy and Space Science Institute)
  • Received : 2017.10.12
  • Accepted : 2017.11.24
  • Published : 2017.12.15

Abstract

The key risk analysis technologies for the re-entry of space objects into Earth's atmosphere are divided into four categories: cataloguing and databases of the re-entry of space objects, lifetime and re-entry trajectory predictions, break-up models after re-entry and multiple debris distribution predictions, and ground impact probability models. In this study, we focused on reentry prediction, including orbital lifetime assessments, for space situational awareness systems. Re-entry predictions are very difficult and are affected by various sources of uncertainty. In particular, during uncontrolled re-entry, large spacecraft may break into several pieces of debris, and the surviving fragments can be a significant hazard for persons and properties on the ground. In recent years, specific methods and procedures have been developed to provide clear information for predicting and analyzing the re-entry of space objects and for ground-risk assessments. Representative tools include object reentry survival analysis tool (ORSAT) and debris assessment software (DAS) developed by National Aeronautics and Space Administration (NASA), spacecraft atmospheric re-entry and aerothermal break-up (SCARAB) and debris risk assessment and mitigation analysis (DRAMA) developed by European Space Agency (ESA), and semi-analytic tool for end of life analysis (STELA) developed by Centre National d'Etudes Spatiales (CNES). In this study, various surveys of existing re-entry space objects are reviewed, and an efficient re-entry prediction technique is suggested based on STELA, the life-cycle analysis tool for satellites, and DRAMA, a re-entry analysis tool. To verify the proposed method, the re-entry of the Tiangong-1 Space Lab, which is expected to re-enter Earth's atmosphere shortly, was simulated. Eventually, these results will provide a basis for space situational awareness risk analyses of the re-entry of space objects.

Keywords

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